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HomeMy WebLinkAbout10-12-10 Chair James Ostlund (2011) Committee Members 1245 W. Highway 96 Jeff Johnson (2011) EN HILLS Arden Hills, MN 55112 • Arlene Mitchell (2010) 651.792.7800 (2012) wwvvci.arden-hills.mn.us Arden Hills John Braun Katy Peters (2012) (Vacant Seat) (2010) Financial Planning and Council Liaison Brenda Analysis Committee Holden October 12, 2010 City Vision A strong community that values its unique environmental setting, strong residential neighborhoods, vital business community, well-maintained infrastructure, fiscal soundness, and our long-standing tradition as a desirable City in which to live, work, and play. Agenda Regular Committee Meeting Convenes 6:00 PM Call to Order 1. APPROVAL OF THE AGENDA 2. MINUTES A. September 9, 2010 - Regular Meeting 3. UNFINISHED AND NEW BUSINESS A. Discussion on developing a TIF policy Or REPORTS A. Report from the City Council B. Financial Planning and Analysis Committee Comments and Requests 5. ADJOURNMENT A quorum of the City Council may be present at this meeting. • r ;` • MINUTES A EN HILLS 1111 FINANCIAL PLANNING &ANALYSIS COMMITTEE Thursday, September 9,2010 6:00 P.M. Second Level Conference Room,Arden Hills City Hall CALL MEETING TO ORDER AND ROLL CALL The meeting was called to order by Jim Ostlund at 6:00 pm. MEMBERS PRESENT: John Braun; Brenda Holden,Council Liaison; Jeff Johnson; Arlene Mitchell;Jim Ostlund;Katharine Peters MEMBERS NOT PRESENT: OTHERS PRESENT: Meagan Beekman; Sue Iverson;Patrick Klaers;John Mehrkens, Senior Housing Partners; Stacie Kvilvang;Joe Rueb Call to Order 1. APPROVAL OF THE AGENDA Motioned: Arlene Mitchell Seconded: John Braun 2. APPROVAL OF JUNE 8,2010 MINUTES Motioned: John Braun °t • • Seconded: Arlene Mitchell 4,14 3. UNFINISHED ANDNEW BUSINESS A. Review Presbyterian Homes Renewal and Renovation TIF Request Ostlund noted a potential conflict of interest with the project as his wife is employed by Presbyterian Homes& Services and the architect is a client of his. John Mehrkens offered, upon request,to provide additional information on previous projects that TIF was used by Presbyterian Homes& Services. The TIF run was only calculated on one of the two parcels of property. Kvilvang will re- run the TIF run calculating both parcels. A motion was made that Council approve TIF for Presbyterian Homes& Services with or without the library. Motioned:Jeff Johnson Seconded: Arlene Mitchell Johnson recommended that the FPAC create a long term policy regarding TIF. The policy would be used to set criteria and priority for future projects. A motion was made that a Long Term Policy for TIF is added to the October FPAC meeting. This discussion may need to include the EDC. Motioned: Jeff Johnson Seconded: John Braun • City of Arden Hills 1245 West Highway 96•Arden Hills Minnesota 55112 Phone 651.792.7800•Fax 651.634.5137 www.ci.arden-hills.m.us Chair Initial Finance Dir.Initial MINUTES HILLS • B. 2009 Comprehensive Annual Financial Report(CAFR), Special Purpose Audit and Management Reports These reports were provided for information purposes only. 4. REPORTS A. Report from the City Council Holden provided an update on previous Council actions and activities. B. Financial Planning and Analysis Committee Comments and Requests 5. ADJOURNMENT Motioned:Jeff Johnson Seconded: John Braun Jim Ostlund,Chair Susan K.Iverson, Finance Director vto • TO' City of Arden Hills 1245 West Highway 96•Arden Hills Minnesota 55112 Phone 651.792.7800•Fax 651.634.5137 www ci.arden-hills.mn.us Chair Initial Finance Dir.Initial • DEN HILLS MEMORANDUM DATE: October 8, 2010 TO: Financial Planning and Analysis Committee FROM: Sue Iverson, Finance Director/Treasurer SUBJECT: Meeting agenda and supplemental items in packet Discussion on Developing a TIF policy . One of the items on the 2010 work plan was: To develop a TIF policy as to what maximum percentage of the City should be in a TIF district. As we have potential projects that may request TIF assistant, the council would like the committee to explore and start working on this policy. This will ultimately be done with the EDC,but we would like to start the discussions and explore what information needs to be gathered and develop a "work plan" on how to begin this task. Supplemental items in packet Included in your packet is some information put together by the League of Minnesota Cities (LMC) on City Finances, basically the 2010 Property Tax Report. This information is provide for informational purposes. We now have the 2010 Budget book completed. We will distribute copies to you at your meeting on Tuesday night. • , - - 111- NtrITA [ Ifit II A Publication of the League of Minnesota Cities September October�010/volume 95, Issue 5 City Finanaces t .. 2010 Property Tax Repor Seeking Financial Solutions a "''''. r;=`ate -'�- - �s fi `� /' -. :? r -'. ✓,te r ¢ * y 3 �, Ill * w a sn - * w , k R Ems-" W i if', asii ll ¢ < - * aU • . .. .'1 ----1 NTS.J II 1\I I ,. J 1\1 1 , F E A T U R E S CITY FINANCES "Taxes don't exist for taxes'sake; they are the vehicle to achieve .,,J1:. 2010 Property Tax Report /4 public goals.That said,the public's This year's report shows the continuing toll the weak housing market and economic recession have taken on cities. willingness and ability to financially 3{ In addition to declines in residential homestead market value support government services is not and total city market value,cities again had to deal with insatiable.The true question,then, state aid and credit reimbursement cuts and levy limits. is not only what services do we really Seeking Financial Solutions/6 need and want in our community but, In This Issue Property tax is just one factor affecting cities'financial future. In this issue,we present the 18th A projection of city budgets based on current revenue and equally importantly,what can we annual property tax report and expenditure trends shows that Minnesota cities will be really afford?" the data table prepared by League unable to pay their bills by 2015. policy analysis staff.You'll also find —As I See It,page 3 ea special supplement with this issue 2010 Property Tax Data/8 that includes a table allowing you The data table that accompanies the property tax report contains to compare your city's data with tax base,tax rate,and levy and aid data for all Minnesota cities. averages of cities from the same A separate table on the LMC website contains city-by-city geographic region or population data on market values and tax capacities by property type. size category.In addition,we tell •you about a new League effort to Communication Collaboration find solutions to the growing city C O L U M-N s In today's economy,many find cial crisis. cities are looking for ways to As I see It/3 collaborate and share resources. No New Taxes Long before the Great Recession Mankato Governing Your City/31 started,the City of Price of Eminent Domain Reform entered a partnership that has paid off in many ways.Read LMCIT Loss Control/33 more on page 52. Certificate of Insurance Statutes Revised Legal Notes/35 Did You Know?/39 2010 LMC Regional Meetings Screening Out Lawsuits over Movie Night Worried about how shrinking HR Update/41 revenues and tight budgets will Surviving the Pandemic impact your city's operations?Join Tech Window/45 the League at our 2010 Regional Cheap Backup Solutions Aren't Worth the Risk In Every Issue Meetings to learn about strategies, tools,and resources that will help Profile/52 Editor's Note /2 you effectively manage your city Mankato's Communication Partnership City News /29 00Leduring uncertain economic times. Around the League /36 am more and register in the N E X T MONTH Idea Exchange /43 Training and Conferences section at Training /47 www.lmc.org. November-December 2010 Professional Directory /49 Orientation of Newly Elected Officials 1 SEPTEMBER-OCTOBER 20I0 MINNESOTA CITIES I !EDITOR ' S NOTE CityFinances EAGOUE OF LMI N N ESOTA CITIES By Claudia Hoffacker League of Minnesota Cities Executive Director,Jim Miller Board of Directors,2010-2011 is hard to find agreement on the Shrinking property tax bases corn- President,Richard Brainerd, status of the Great Recession. bined with growing resistance to the Councilmember,Mahtomedi Some say it's over and recovery is property tax amid an extremely slow First Vice President,H.Dan Ness, beginning while others say it's still economic recovery and high unem- Mayor,Alexandria going and may not end any time ployment means that it is increasingly Second Vice President,Betsy Hodges, soon.Whatever economists say,the difficult for cities to raise the property Councilmember,Minneapolis reality is that people everywhere tax to fund local services.At the same are still struggling financially. time,cities don't currently have many Doug Anderson Rodney Otterness Man are still facin tou decisions other or revenue. Mayor City Administrator Y g � f optionsraising Dayton International Falls like,if we replace the broken clothes It is clear that changes need to be y dryer,will we be able to pay the elec- made in the way cities provide and Jeff Bertram Molly Park Councilmember Mayor tricity bill this month? pay for services.That's why the League Paynesville Sunfish Lake Like individuals,cities are experienc- launched a new initiative called Cities, Shawn Gillen Rhonda Pownell ing declining revenues and also have Services &Funding:Broader Thinking, City Administrator Councilmember to make tough financial decisions:Can Better Solutions in an effort to initiate Grand Rapids Northfield we put off scheduled maintenance to public discussion that will help solve Lee Helgen the sewer system? Can we keep the this financial crisis.You can read more Councilmember Ex Officio library open? Can we fix the streets that about this effort on page 6. St. Paul Lester Heitke iii• are riddled with potholes? How much Also in this issue,as in previous years, Mark Karnowski NLC Second Vice President City Administrator Mayor, Willmar Ardell F.Brede snow can we plow this winter? In fact, we've included a table showing prop Princeton the situation is so dire that a recent erty tax data for all Minnesota cities. LMC Past President studyprojected that if nothingchanges, In addition,the supplement with this Andy Kauffman g pp Mayor Mayor,Rochester all types of cities across Minnesota will issue features a table that allows you to Montrose Tim Strand have a budget deficit in five years. compare your city's tax information Susan Larson CGMC Representative There are a variety of reasons for with averages of cities from the same Councilmember Mayor,St.Peter declining city revenues,including cuts geographic region or population size Isanti Mike Maguire in state aids and decreased market category.You'll also find more property Steve Nasby Metro Cities Representative values.This year's League of Minne- tax information on the League's website • City Administrator Mayor,Eagan sota Cities (LMC) property tax report at wwwirnc.org/page/l/property- Windom Jeff Kletscher reveals that cities are seeing some tax-state-funding-fiscal-issues jsp. Dave Osberg MAOSC Representative values shrink for the first time since As part of the Cities,Services &Fund- Administrator Mayor,Floodwood the League began its annual analysis ing initiative,the League produced two Hastings 18 years ago.One example is that total videos to educate the public and ask market value for cities overall decreased for ideas to solve the problem.People Upcoming Board meeting 3 percent from 2009 to 2010.Last year can view the videos and submit their Oct.2t,2oto LMC Bundling was the first time we saw a reduction in comments and ideas on the LMC blog, residential homestead market value,and "Outside the Ox,"at wwwoutside Minnesota Cities magazine we're seeing another decline in that area theox.org.We hope you'll check it out, Editor Claudia Hoffacker this year.Other firsts for this year are spread the word,and get involved!r Designer Stephanie Thoe declines in non-homestead residential REPRINTS:Contact Claudia Hoffacker at values and commercial-industrial Claudia Hoffacker is web content and (651)21-4032 or choffacker@lmc.org to request permission to reprint articles.Minnesota Cities values.(See the report on page 4.) publications manager with the League of (ISSN-0148-8546)is published bimonthly for Minnesota Cities. Phone:(651)215-4032. $30 per year,single copy$5,by League of Minnesota E-mail:choffacker@lmc.org. Cities, 145 University Avenue West,Saint Paul, Minnesota 55103.Telephone:(651)281-1200. Fax:(651)281-1299.Web site:unvw.lmc.org. Periodicals postage paid at Saint Paul,Minnesota and li other mailing offices.Publication number 351960. POSTMASTER:Send address changes to:League of Minnesota Cities,145 University Avenue West, Saint Paul,Minnesota 55103-2044. 2 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 • No New Taxes 1 By Jim Miller like to read letters to the editor was ing s.What ght her only part of the issue is addressed.If the and online comments posted about attentionreturn and prompted her tocau write decision were as simple as whether to political issues.It's not that I always was that the man was wearing a"no raise taxes,there would be no debate. find them particularly insightful, new taxes"T-shirt.She ended her letter But taxes don't exist for taxes'sake;they but I do think they offer a glimpse, with the obvious rhetorical question of are the vehicle to achieve public goals. albeit an imperfect one,into how people are reacting to the politi- where did this person think the money That said,the public's willingness and came from to build the library and buy ability to financially support govern- cal topics of the day.Granted,these the DVDs? ment services is not insatiable.The true commentaries sometimes are placed on Something similar appeared in a dif- question,then,is not only what ser- behalf of organizations or political par- ferent paper in a letter from an individ- vices do we really need and want in our ties trying to influence readers to their ual complaining about his city's recent community but,equally importantly, perspective,but often they represent a decision to assess his property for a what can we really afford? microcosm of what society is thinking, street improvement.Nothing new there, Much has been written about the unfiltered by the media's interpretation. but my eyebrows did rise when I read "new normal."While there doesn't Sometimes these responses are long his suggestion that,rather than charg- seem to be a clear definition of this and belabored attempts to bolster the ing him for this project,the city should term,there is growing consensus that author's point with details and facts, pay for it.This reflects the odd,but not the results of the economic"upheaval of closely resembling a mini legal brief uncommon,notion that somehow the the past few years will mean that many ther times they are more an expres- sion "city"is an entity apart from those who aspects of society,including which Sion of opinion with little substantiation live in it or own businesses there.And, public services we provide and how for that perspective.But,again,they are as with the man returning the DVDs, we provide them,will be appreciably nonetheless a reflection of what issues it shows the failure or unwillingness to different.If,as it certainly seems,we people care about at any one moment, associate public services with responsi- have entered a new era with prolonged and illustrate where the divide in public bility to pay for them. unemployment and slow job growth, sentiment lies. It is perhaps natural for those of us governments will need to rethink what One topic that always generates who strongly believe in the importance services they realistically can provide numerous responses and to which I of government to smirk at or ridi- and how to best pay for them. pay particular attention is the"no new cule such examples.How can anyone The new normal also means that taxes"debate that has dominated this be so naive?Can't they see the obvi- behind the rhetoric of the"no new state's politics in recent years and now ous disconnect?We conclude that such taxes"mantra is the fact that the public's has become a plank in the Tea Party's people are conveniently avoiding the appetite (and indeed,ability) to con- platform nationally.In some ways,this reality of the need for taxes to provide tinue to pay for everything cities have intense interest in the topic should not for our common good.If we are hon- conventionally done has changed,per- be surprising;paying taxes is not some- est,however,we may be as myopic as haps for good.That may not be corn- thing most people relish and the always those arguing for fewer taxes.Because pletely obvious yet,but if you have present tension between the cost of we understand the importance of pub- doubts,read the letters to the editor. providing essential government services lic services,it is easy for us not to give Recognizing this reality is an important and how to pay for them evokes strong credence to those who claim they are first step in finding the right solutions feelings and reactions. being overtaxed,but that is shortsighted to keeping our communities viable for I found one recent letter to the edi- as witnessed by the increasing number years to come.t- tor on this topic especially insight- of letters to the editor sympathetic to ful because it so succinctly captured reducing taxes. the irony surrounding this issue.In a When public policy discussions focus few short sentences,the author noted exclusively on taxes,or for that matter, Jim Miller is executive director of the ill that she was recently at her local solely on the need for public services League of Minnesota Cities.Phone: library standing behind a man who without regard to their cost impact, (651) 281-1205.E-mail:jmiller@lmc.org. S E P T E M B E R-O C T O B E R 2 0 I 0 M I N N E S O T A CITIES 3 CITY FINANCES 2010 Property Tax Report This year's report shows the continuing toll the weak housing market and economic recession have taken on cities. In addition to declines in residential homestead market value and total city market value, cities again had to deal with state aid and credit reimbursement cuts and levy limits. By Rachel Walker and Lena Gould his,the League of Minnesota ■ Limited market value sunsets.The residential homestead property,non- Cities' 18th consecutive property limited market value (LMV) program, homestead residential property (e.g., tax report,provides an update on which protected homeowners against apartments,student housing),and a few key policy issues related to the property tax system.It also large increases in assessed value,was commercial-industrial property,all allowed to sunset in 2009.Starting decreased in market value over the discusses trends in city property with taxes payable in 2010,there will last year(see Figure 1). tax in terms of both market value no longer be restrictions on assessed Residential homestead property and tax capacity. • value increases. showed a decline in 2009,but this is the first time in the history of this report that Things to note for taxes payable in 2010 Market value trends non-homestead residential and commer- •Aid and credit reimbursement cuts. The slowdown in market value growth cial-industrial values shrank compared to The 2009 legislative session ended described in the last two reports has the prior year.This suggests that assessed 0 without an agreement on how to become much more pronounced.Total values are finally beginning to catch up solve the then$2.7 billion state market value for cities overall decreased to changes in the housing market,a budget deficit.In July 2009,Gov. 3 percent from 2009 to 2010.Looking trend that will likely continue.Assess- Pawlenty used his unallotment power at individual categories of property, ments for taxes payable in 2010 were to reduce appropriations to van- completed by Jan.2,2009.Both agri- ous state programs,including both cultural and other property(e.g.,cab- the 2009 and 2010 payments of local Included with this report: ins,bed and breakfasts,certain marinas) government aid(LGA) and mar- • The 2010 Property Tax Data Table and grew in value compared to 2009.Agri- ket value homestead credit (MVHC) Definitions—see pages 7-27: cultural market value grew at a faster rate reimbursement.For the two-year • Comparative data by economic devel- compared to last year while other kinds period,$192.5 million was cut from opment region and by city population of property market value grew slower LGA and MVHC reimbursement category—see the Special Supplement than from 2008 to 2009. A lawsuit was filed chat- insert. payments. • Are ort on the decline of cityA closer look at the change in home- lenging the governor's use of unal- pstead residential market value reveals lotment authorityThe Minnesota revenues--see the Special Supplement insert(back page). differences based on city size and loca- Supreme Court ultimately ruled in tion.When looking at the changes by early May 2010 that Gov.Pawlenty Additional resources available on the population size,the share of cities that did exceed his budget unallotment League website: lost value from 2009 to 2010 increases authority.The Legislature convened a • A city-by-city breakdown of total tax as population does.Almost nine in 10 special session and ratified the bulk of capacity and total market value by cities with populations over 10,000 lost the unallotments,including those to property type. homestead value while just 46 percent • The Property Tax Calculator,an LGA and MVHC reimbursement. interactive web tool allows users of cities with populations under 300 saw • Levy limits. Despite strong legislative to compare estimated city and total a decline.Metro cities were more likely support to repeal levy limits,cities to see a decrease in value than Greater taxes owed on homestead and business with populations over 2,500 are sub- properties in different cities. Minnesota cities (94 percent vs.53 per- 1 jest to levy limits through 2011.The • Several background documents on vari- cent,respectively).The economic devel- levy limit inflation factor for pay- ous aspects of the 0property tax system. opment regions along the western edge able 2010 was just 0.83 percent.Cit- To access all this information,visit of the state had the largest shares of cit- ies could use special levies in 2010 to www.lmc.org/page/1/property-tax- ies experiencing growth in residential recoup lost 2008 and 2009 LGA and state funding-fiscal-issues jsp. homestead market value. MVHC reimbursements. 1 4 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 Figure 1 ! burden shifted onto these latter two Figure 5 0 Growth in Total City Market Values classes of property for taxes owed in Where Property Taxes Go 2010 11.9% (2009 to 2010) 2010.The tax capacity of agricultural State I property grew 12 percent over last year. Figure 3 12% District Special County 3.3% Ell 4% ® os% os% 11111Growth in Total City Tax Capacities 46/ 30% ( ' Non- 12.1% (2009 to 2010) i Res Homestead School \ Farm Homestead Res Comm/Ind Other Total 27% 2.1% City The breakdown of all city market II 28% value into the five major property cat- ® -1.0% 40.5% M Taxes owed egories remains virtually unchanged for -a 7% 2010(see Figure 2).Agricultural prop- Res Homestead Figures 6 and 7 show the average taxes Fans Homestead Res Comm/Ind Other Total owed on both a hypothetical homestead erty was less than 1 percent of the total last year and now represents just over 1 and business property in 2010.The tax percent.Conversely,homestead residen- bill for a homestead property valued tial property made up 65 percent of all Looking at the breakdown of all city at$100,000 increased by$56.The city city property in 2009 and now repre- tax capacity into the five major cat- portion of that bill increased by$22. sents 64 percent. egories of property reveals a shrinking Overall city residential homestead mar- of the residential homestead share for ket value fell in 2010;the final column Figure 2 the second year in a row (see Figure 4). in Figure 6 reflects this decline in value Total City Market Values 2010 This share has fallen from 56 percent of for the hypothetical homestead. Other Farm total tax capacity in 2008 to 54 percent Total taxes owed by a business prop- 3% in 2009,and is now just 53 percent. ertyvalued at$150,000 grew$131 from CommAnd Residential is% Homestead Other property types (e.g.,cabins,bed 2009 to 2010 while the city portion 64% and breakfasts,certain marinas) demon- increased by$52.Overall city commer- strated the reverse trend,growing from cial-industrial property market value fell 3 percent in 2009 to 4 percent in 2010. Non- in 2010.The final column reflects this 0 Homestead I loss in value for the hypothetical business. Residential 14% Figure 4 Total City Tax Capacities 2010 Figure 6:Tax on a Homestead(after MVHC) Other Fa 1rm 2009 2010 4% % Residential Tax on Tax2010 on Tax with Tax capacity trends $100,000 $100,000 Home Value Looking at changes in city property H53%Stead Home Home Deflated to Comm/Ind $95,380 tax base in terms of tax capacity reveals 29% very similar trends to the market value City Portion $298 $320 $317 ofTax Bill analysis above.Past declines in city tax capacity have been due to legislative Total Tax Bill $989 $1,045 $1,030 changes to the classification rate strut- Non-Homestead ture.This year,overall city tax capacity Residential Figure 7:Tax on a Business declined 3percent without substantial 13% 2009 2010 2010 changes in class rates (see Figure 3). Tax on Tax on Tax with The trends by category of prop- Where taxes go Bu Business Businoe s Businesslu . erty are the same as those identified in Figure 5 shows where property taxes Deflated to the market value analysis.Agricultural paid in cities go.Of the$5.9 billion in $149,325 property posted the greatest growth at property taxes paid in 2010,the larg- city Portion ofZ'az Bill $875 $927 $923 12 percent while homestead property est share (29 percent) goes to county Total Tax Bill $3,710 $3,841 $3,824 tax capacity fell 5 percent. governments.City governments col- Since most property taxes are lev- lect the next largest share (28 percent) ied on tax capacity rather than on mar- while school districts receive 27 per- The League would like to thank the ket value,these trends signify a shift in cent.The state has levied a property staff at the Department of Revenue for tax burden among the different cat- tax on seasonal-recreational property their help in preparing this report.r egories of property.Because residential (i.e.,cabins) and business property since homestead,non-residential homestead, 2002.Twelve percent of all property Rachel Walker is policy analysis manager and commercial-industrial tax capac- taxes paid in cities went to the state in with the League of Minnesota Cities.Phone: -ty actually decreased while agricul- 2010.The smallest share,4 percent,was (651) 281-1236.E-mail:rwalker@lmc.org. ural and other property experienced paid to special districts.This breakdown Lena Gould is LMC policy analyst.Phone: tax capacity growth,more property tax remains unchanged from 2009. (651) 281-1245. E-mail:lgould@lmc.org S E P T E M B E R-O C T O B E R 2010 M I N N E S O T A CITIES 5 CITY FINANCES iii Seeking Property tax is just one factor affecting cities'financial future. A projection of city budgets based on current revenue and expenditure trends shows that Minnesota cities will be unable to pay their bills by 2015. By Rachel Walker ll types of cities in all regions Projected Deficit as Percent of Total Minnesotans have been seeing for the of the state will be in the red MI Revenues for all Cities past seven years. within the next five years if 2010 2015 2020 2025 City officials invited to share their ideas they continue on their current financialpath.Looking out as City officials attending the LMC Annual far as reveals that cities ia.s2i Conference participated in facilitated overall would still be broke if discussions about the issues raised by the no policy changes take place. Bassi projection.The 2010 LMC Regional In other words,by the time babies 34.75% Meetings will be additional opportuni- born this year are in first grade,cities have no choice but to make more of the ties for elected and appointed officials to of all population and tax base sizes,in painful decisions they are already making engage in discussions about the future of all parts of the state,will be in the red today—primarily,cutting services and our communities.The full report of the iif historical revenue and expenditure raising property taxes—to avoid this Humphrey Institute analysis is available trends continue.It won't matter where massive deficit.And unlike the state or on the League's website along with more a city is,how big or small its popula- federal government,cities do not have information about the Cities,Services & tion,what its tax base composition is, another level of government to shift the Funding initiative.Two videos the League uced to spur what its local economy looks like,or problem to;their options for resolving a about the has prodh future of ou oemmtionsunities are what its unique mix of revenue sources deficit of this magnitude are much more also eble.To access this information- is—all types of cities will be running a limited and will affect local residents and and find out how you can get involved, deficit if things don't change. businesses directly. visit www.linc.org/page/lkities- Let's make change happen together Tough choices ahead services-funding.jsp.t. The League of Minnesota Cities(LMC) These findings are staggering.If cities contracted with researchers at the reach the point where they are unable to Rachel Walker is policy analysis manager Hubert H.Humphrey Institute of pay the bills,agonizing choices will have with the League of Minnesota Cities.Phone: Public Affairs at the University of Min- to be made that would impact the day- (651) 281-1236.E-mail:rwalker@lmc.org. nesota to carry out an analysis of city to-day lives of Minnesota families,busi- budgets.That analysis was released in nesses,and communities across the state. KEY FINDINGS: June and serves as a foundational piece To illustrate,in a deficit situation ANALYSIS OF CITY BUDGETS of the League's new effort,Cities,Services as severe as projected,cities as a group &Funding:Broader Thinking,Better Solu- would have to eliminate a wide range types of Minnesota cities will be tions—an initiative to spur public dis- of services or double property tax levies. broke by the year 2015 if no policy cussion among the city community,the For senior citizens across the state,those changes are made.And in many kinds public,the media,and policymakers. service cuts could mean no access to a The chart above shows the extent library or a senior center.For children of communities,this is a reality today as of the deficit (as a percent of total rev- and families,there could be no baseball revenues fall short of what cities need to enues) for all cities as a group if revenue fields,hockey rinks,or swimming pools provide services. and expenditure trends continue with- for after-school and summer recreation. • By the year 2025,cities overall would see out intervening policy changes. For homeowners,property values could a deficit of 35 percent of city revenues. The fact is that this projection of the decline as sidewalks and streets crumble • Fundamental changes are needed in city Ifuture cannot be allowed to happen in into a maze of cracks and potholes.This services and funding to prevent these real life.By law,cities must balance their isn't hyperbole—it's simply the continu- projections from becoming reality. budgets.City officials will therefore ation of the slow path of degradation 6 MINNESOTA CITIES SEPTEMBER-OCTOBER 2010 2010 PROPERTY TAX DATA TABLE : COLUMN DEFINITIONS , 1111 Unless otherwise noted,the data are computed from the,2010 abstract of tax lists and other information from the Minnesota Department of Revenue. Total tax capacity—the total tax capacity for taxes payable in Average tax rates are provided because the city may be overlapped 2010.Tax capacity is determined by multiplying a property's market by several school districts,counties,or special taxing districts. value by its classification rate.Each property is assigned a classifica- For example,portions of St.Cloud are located within Stearns, don rate depending on its use. Sherburne,and Benton counties,and within the Sauk Rapids Power line tax capacity(not shown)—The net tax capacity of (ISD#47)and the St.Cloud(ISD#742)school districts.Please note that the average total rate does not include market value-based 10 percent of the 200 KV power line for taxes payable iil 2010.To compute the power line net tax capacity,subtract the following from referenda levies.(Also see note above under JOBZ tax capacity for treatment ofJOBZ tax capacity in these calculations.) total tax capacity:captured tax increment financing(TIF)tax capac- ity,fiscal disparities contribution tax capacity,and taxable tax capacity. Market value tax rates—these columns provide the average 2010 market value tax rates for cities,counties,and schools within Captured TIF tax capacity—the captured tax capacity within each city.The averages at the end of the table reflect the average TIF districts for taxes payable in 2010. only for those jurisdictions that have market value levies.Market Fiscal disparity contribution tax capacity—the tax capacity value contained within JOBZ properties is not included in the rate contributed to the metropolitan and iron range fiscal disparities calculations(see note under JOBZ/BIO tax capacity").For taxes programs for taxes payable in 2010.Cities in Anoka,Carver,Dakota, payable in 2010,four counties,52 cities,and 336 of the state's 345 Hennepin,Ramsey,Scott,Washington,Lake,and Cook counties and school districts imposed market value referenda levies.In 2009,three portions of St.Louis,Itasca,Crow Wing,Aitkin,and Koochiching counties,52 cities,and 334 school districts imposed market value counties are affected by these programs. levies.The 2001 tax law reduced the number of school districts with Taxable tax capacity—the taxable tax capacity for taxes payable referendum levies by replacing the first$415 per pupil of operating is computed by subtracting the referendum levies with an equal amount of state aid for 2002. in 2010.The taxable tax capacity 1, power line tax capacity,the captured TIF tax capacity,and the fiscal Certified 2010 LGA—the amount of local government aid disparities contribution capacity from the total tax capacity of each each city was expected to receive in 2010 when the Department city.This is the tax base used to compute the local tax rate: of Revenue certified the amounts in July 2009. Fiscal disparity distribution tax capacity—the tax capacity Actual 2010 LGA—the amount of LGA each city will actually received from the fiscal disparities programs for taxes payable in receive after the effects of the ratified unallotments and 2010.Only cities located within the Twin Cities metropolitan area supplemental reductions are factored in. and the taconite relief area are affected by these programs. 2010 city certified levy—the amount of property taxes each city State levy tax capacity—the tax capacity of commercial,industri- expected to receive in 2010 when they certified their levy to the al,and seasonal recreational property that is subject to the state prop- county in December 2009. erty tax.For taxes payable in 2010,the state levy tax capacity is split 2010 yield on levy after MVHC reimbursement cut— between cabins(5 percent)and commercial/industrial(95 percent): the amount of certified levy each city will realize after accounting The amount of the state tax collected in a city can be calculated by the state levy cabin tax capacity times.17755 and for effects of market value homestead credit(MVHC)reimburse- multiplyingment reductions. adding the state commercial/industrial tax capacity times.45881. JOBZ/BIO tax capacity—the tax capacity in Job Opportunity 2010 fiscal disparities distribution levy-the amount of 2010 city levy raised through the fiscal disparities program. Building Zones or in the BioScience Zone.Properties in areas (Source:House Research and Department of Revenue) designated as JOBZ or BioScience zones are exempt from many local property taxes.The JOBZ/BIO tax capacity is excluded 2010 city net levy—the city levy actually used to compute the from the calculations of average tax capacity rates,as there are local tax rate.The net levy is computed by subtracting the fiscal dis- only 115 cities with JOBZ properties for taxes payable in 2010. parity distribution levy(if applicable)from each city's certified levy. Average tax rates—these columns provide the average 2010 tax 2009 population—the 2009 population estimates are from the 1 rates for county,city,school,and special districts within each city. State Demographer for Greater Minnesota cities and the IIIMetropolitan Council for metro cities. S E P T E'a B E R -O C T O B E R 2010 MINNESOTA CITIES 7 I 2010 TAX RASE DATA I I 2010 NET TAX CAPACITY RATES I Total Captured OF Fiscal Crisp Taxable Fiscal Olsp Total State 108Z/BIO Average Average Average Average Average Tax Tax Capacity Conblb Tax Capacity Dlsblb Tax Capacity Tax Capacity County Capacity Tax Capacity Tax D kI) P tY ate City Tax Rateol Speciale Total Capacity (cabin&C/I) Tax Rate Tax Rate Rate Tax Rafe NTC Rate Ada 563,52E 16,055 0 547,471 0 95,004 0 38.82% 65.78% 154% 5.02% 111.16% Adams*411110 267,857 0 0 - 267,857 0 57,108 0 46.14% 76.37% 6.45% 0.50% 129.46% Adrian 477,711 0 0 477,711 • 0 74,932 0 42.93% 98.20% 20.44% 178% 163.35% Afton 6,003,820 5,799 217,672. 5,780,349 210,280 618,649 0 27.78% 25.36% -20.34% 3r68% 7716% Aitkin 1,588,128 200,261 119,581 1,268,286 88,30E 689,098 0 32.93% 56.68% 2.73% 0.14% 92.48% Akeley 281,896 0 0 281,896 0 96,977 0 29.60% 72.14% 5.36% 0.80% 107.90% Albany 1907,484 323215 0 1584,269 0 607,282 63,148 48.61% 38.21% 23.66% 0.53% 111.01% Albert Lea 10,916,406 169,699 0 10.746.707 0 3,846,431 25R 738 56.81% 46.06% 24.49% 1.38% 128.75% Alberta 55.580 0 0 55,580 0 31861 0 4L96% 103.06% 2.26% 1.33% 148.61% Albertville 8,037,382 28.165 0 8,009,217 0 3,304,958 0 35.81% 36.71% 48.17% 0 120.69% Alden 281,159 0 0 281,159 0 38,301 0 55.62% 62.67% 2L49% 0 139.78% Aldrich 26.014 0 0 26,014. 0 8,535 0 7229% 19.22% 1229% 0.09% 103.89% Alexandria 14,792,981 589,421 .0 14,203.560 0 7,811,678 252960 _ 44.03% 33.35% 1220% 2.21% 9L79% Alpha 24,910 0 0 24,910 0 7,664 0 4164% 144.35% 15.68% 032% 202.00% Altura 304,823 0 0 304,823 0 39,554 0 43.21% 31.8296 14.84% 0.52% 90.39% Alvarado 116,099 0 0 116,099 0 30,514 0 41.70% 30.15% 4.99% 7.14% 83.98% Amboy 281,090 0 0 281,090 0 53,291 0 40.45% 75.01% 9.32% 0.19% 124.97% Andover 28,726.619 2,284,466 1179,032 25,263,121 4.713,020 3,084.565 0 35.57% 36.60% 2030% 2.88% 95.35% Annandale 2,495,382 107,099 0 2,388,283 0 749,970 0 35.76% 48.48% 6.97% 157% 92.78% Anoka 16875,652 2921,966 2,383,336 11,370,350 3,647,825 6,093,215 0 3557% 40.53% 19.94% 533% 101.37% Apple Valley 54,306,053 3,269,763 4,786,935 46,249,355 7,532,285 11,977,499. 0 27.27% 3987% 25.34% 4.90% 973896 Appleton -1,318155 0 0 1,313,155 0 1,014,914 0 4290% 90.26% 5.84% 087% 139.87% Arco 17,981 0 0 17,981 0 2,719 0 32.09% 139.04% 27.18% 154% 199.84% Arden Hills 15,824,011 590,269 3,096380 12,137,362 1,289,268 7,974,950 0 50.25% 22.67% 24.14% 7.95% 105.01% Argyle 209,575 5,702 0 203,873 0 45,443 225 4142% 52.78% 7.96% 7.14% 109.31% Arlington 1,006,197 37,962 0 968,235 0 121,251 0 53.04% 76.50% 5.88% 234% 137.77% Ashby 227,689 -21,888 0 205,801 0 53,769 0 49.01% 82.61% 33.52% 036% 165.49% Askov 204,277. 0 0 204,277 0 54,978 0 45.01% 65.16% 34.16%. 2.44% 146.77% Atwater 549,699 0 0 549,699' 0 125,716 0 52.86% 6431% 13.21% ' 3.17% 133.55% Audubon 255,968 0 0 : 255,968 - 0 85,651 0 385396 70.11% 3.78% 2.28% 114.7096 1 Aurora 638,981 0 14,334 624,647 123,103 119,470 0 49.00% 96.89% 25.28% L08% 172.25% Austin* 11,971,374 553,518 0 11,417,856 0 2,888,988 4,506 45.25% 34.16% 2115% 2.47% 103.02% Avoca 68,490 0 0 68,490 0 28,854 0 29.61% 47.45% 14.36% 0.34% 91.75% Avon 1,314,444 201542 0 1,112,902 0 375,962 195.226 48.54% 6202% 23.57% 0.53% 134.67% Babbitt 839,314 0 31,616 807,698 77,904 155,097 0 58.76% 8768% 17.70% 1.08% 165.22% Backus 207,665 0 0 207,665 0 81,057 0 27.29% 62.79% 4.01% 0.10% 94.19% Badger 135,129 0 0 135,129 0 23,635 0 6181% 63.44% 121996 8.08% 1455296 Bagley 577,400 7,887 0 569,513 0 209,332 13,668 46.98% 8624% 23.15%. 5.07% 161.44% Balaton 223,697 0 0 223,697 0 30,937 0 44.69% 85.43% 4.43% 0.35% 134.90% Barnesville 1,222,578 117,527 0 1.105,051 0 120,772 0 55.80% 42.82% 4.66% 184% 10512% Barnum 272,801 0 0 272,801 0 73,413 0 65.98% 52.76% 40.89% 0.15% 159.78% illBarrett 195051 6,131 0 188,920 0 47,395 0 48.92% 113.17% 1120% 0.36% 173.65% Barry 19,869 0 0 19,869 0 12,263 0- 50.72% 40.35% 6.59% 3.18% 100.83% Battle Lake 899,867 47,659 0 852,208 0 315,449 0 34.4096 55.82% 6.94% 0.56% 97.72% Baudette 677,699 0 0 677,699 0 367,064 0 43.80% 34.10% 45.85% 0.27% 124.02% Baxter 13,309.074 468,523 0 12,840,551 0 7.351,227 35,708 28.00% 43.98% 20.95%. 0.14% 93.07% Bayport 3,054,816 155,095 288,768 2,610,953 646,545 851,754 0 25.56% 32.36% 19.73% 3.89% 81.55% Beardsley 62,758 0 0. 62,758 0 20,758 0 44.69% 611896 2.22%- 3.18% 111.27% Beaver Bay 470,326 0 29,143 441133- 2200. 282,787 0 40.37% 59.91% 17.74% L98% 120.00% Beaver Creek 141,548 0 0 141.548 0 33,847 0 26.88% 100.05% 7.20% 0.32% 134.45% Becker 15,009,198 0 0 15,007,740 0 4,632,527 0 44.48% 28.51% 20.46% 2.90% 96.35% Bejou 22.988 0 0 22,988 0 7,975 0 88.54% 30.45% 18.95% 6.70% 144.64% Belgrade 375141 5,939 0 369,202 0 116,961 33.028 48.38% 78.38% 20.35% 2.10% 14921% Belle Plaine 5,304.383 38,482 367,697 4,898,204 1,519,756 961,523 0 33.24% 6134% 38.13% 4.12% 136.82% Bellechester 97,511 0 - 0 97,511 0 10,503 0 45.92% 25.64% 20.43% 131% 93.30% Bellingham 69,693 - 0 0 69,693 0 32,314 0 31.32% 33.99% 17.32% 270% 85.33% Beltrami* 33,427 0 0 33,427 0 12,757 0 62.98% '69.11% 6A8% 7.72% 14628% Belview 82,348 0 0 82,348 0 11,722 0 43.80% 90.98% 0.73% 0.33% 135.83% Bemidji 9,062,470 369,448 0 8,693,022 0 4,453,176 54,122 5264% 42.36% 20.99% 145% 117.44% Bena 18.943 0 0 18.943 0 5,412 0 27.69% 47.51% 42.10% 0.10% 117.40% Benson 1.954,881 18,516 0 1,936,365 0 838,591 2,320 43.95% 63.95% 8.14% 0.87% 116.90% Bertha 138,914 0 0 138,914 0 34875 0 55.29% 36.28% 35.27% 0.10% 126.93% Bethel 403,543 0 44,879 358,664 118,112 113,945 0 35.57% 52.77% 24.86% 4.32% 117.52% Big Falls 62,038 0 0 62,038 0 11,247 0 36.07% 9539% 40.46% 701% 178.92% Big Lake 8,341,452 176,869 0 8,164,583 0 2,121,001 0 44.45% 4271% 39.48% 3.61% 13026% Bigelow 65,831 0 0 65,831 0 16,132 0 44.19% 75.19% 25.78% L78% 146.94% Bigfork 190,240. 8,745 21,978 159,517 30,804 80,589 0 45.1236 79.42% 14.30% 723% 146.06% Bingham Lake 103,100 0 0 103,100 0 56,075 0 3827% 67.90% 22.54% 0.32% 129.03% Birchwood 1.688,616 0 0 1,688,61E 0 42,533 0 27.78% 19.13% 2176% 5.40% 74.06% Bird Island 451,649 0 0 451,649 0 117,551 0 40.64% 72.58% 5.88% 133% 120.43% Biscay 45,813 0 0 45.813 0 325 0 54.19% 3524% 6.10% 0.21% 95.74% Biwabik 858,327 7,904 32440 817,983 21,164 402,681 0 50.33% 92.81% 23.42% 1.08% 167.63% Blackduck 326,589 17,963 0 `308,626 0 - 127,989 0 52.54% 63.51% 1929% 9.52% 144.86% Blaine " 69.829,134 2,401,526 9,327,250 58,100,358 8,753,142 24.420,085 0 35.71% 29.51% 26.7296 6.17% 98.12% Blomkest 91,453 0 0 91,453 0 11,007 0 54.22% 40.63% 19.85% 1.50% 116.21% Blooming Prairie 975.855 12,512 0 963,343 0 :180261 0 52.23% 72.84% 34.18% 1.27% 160.52% Bloomington 150.231,185 8,838,581 33,777,928 107,614,676 10,507,211 75,137,775 0 42.64% 38.10% 19.32% 10.76% 110.82% Blue Earth 1600,399 63,987 0 1,536,412 0 463,144 36,223 43.54% 74.99% 5.26% 0.17% 123.96% Bluffton 94,736 0 0 94,736 0 15,436 0 34.46% 43.05% 23.51% 0.56% 10L58% Bock 59,616 0 0 59,616 0 16.101 0 6433% 32.69% 19.39% 0.16% 116.56% Borup 21,335 0 0 21,335 0 2,950 0 40.26% 39.84% 3.28% 5.02% 88.41% Bovey 230,799 0- 7,072 223,727 49,973 31,334 - 0 4143% 91.87% 148896 0.42% 148.60% Bowlus 136,631 3,945 0 132,686 0 18,726 0 49.38% 22.40% 28.08% 0.66% 100.53% ilkBoy River 10,701. 0 0 10,701 0 2,142 0 27.69% 37.38% 2.38% L05% 68.50% I. Boyd 38,688 0 . 0 38,688 0 8,371 0 22.04% 2018096 12.80% 2.70% 239.34% Braham 982,331 42.811 0 939,520 0 188,450 0 42.48% 52.64% 24.69% 0.16% 119.97% Brainerd 9,548.030 586,449 0 8.961,581 0 3,909,970 266,372 27.34% 45.51% 20.81% 165% 95.31% Brandon 325,997 35,371 0 290,626 0 125,941 0 43.93% 62.97% 5.48% 1.22% 113.60% *Data for cities in Polk and Mower counties is preliminary. 8 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2 0 1 0 201G MV TAX RATES -I I 2010 AID AND LEVY DATA Average Average city Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy Dlsp Levy Net Levy After MVHC Population Tax Rate Relmb Cut lbAda 0 0 0.2095% 646,579 571,600 360,104 0 360,104 325,588 1,598 Adams* 0 0 0.4110% 215,934 215,934 204,556. 0 204,556 190,139 753 Adrian 0 0 0.3397% 428131 362,303 469,127 0 - 469,127 438,363 1.217 Afton 0.0031% 0 0.1243% . 0 0 1,516,258 50,545 1,465,713 1491,125 2,926 Aitkin 0 0 0.0406% 848,833 732,618 774,526 55,687 718,839 718,866 2,069 Akeley 0 0 0.0205% 52,712 52,712 203,357 0 203,357 194,577 399 Albany 0 0 0.1105% 726,135 627,315 612.836 0 612,836 566.927 2,246 Albert Lea 0 0 0.2590% 5,503,297 4.724,618 4,960.155 0 4,960,155 4,601,391 18,061 Alberta 0 0 0.8112% 29,193 29.193 57.279 0 57,279 54,314 125 Albertville 0 0 0.1506% 0 0 2,939,784 0 2,939,784 2,826,614 6,218 Alden 0 0 0.165796 151,351 151,351 176,203 0 176,203 164,972 619 Aldrich 0 0 0.1277% :6,601 6,601 5,000 0 5,000 4,602 40 Alexandria 0 0.0135% 0.0828% 1,689,877 1,204,947 4,741,812 0 4,741,812 4,524,555 12.441 Alpha 0 0 0.2659% 36,577 36.577 35.958 0 35,958 33,471 120 Altura 0 0 0.2116% 46,436 46,436 96,997 0 96,997 92,079 413 Alvarado 0 0 0.3857% 55,149 55,149 35,000 0 35,000 31,909 358 Amboy 0 0 0,2402% 128,915 128,915 210,851 0 210,851 199,201 543 Andover 0 0.0033% 0.2514% 0 0 10,768,716 1521,663 9,247,053 10.278,486 31,298 Annandale 0 0 0.1340% 367,413 260,224 1,157,911 - `0 1,157,911 1105,612 3,017 Anoka 0 0 0.2615% 1,458,183 901.095 5,983,085 1,374,683 4,608,402 5,727,950 17,966 Apple Valley 0.0050% 0.0337% 02231% 0 0 21,231661 2,793,423 18,438,238 20,209A62 49,376 Appleton 0 0 0.2906% 1,042,992 876,061 1185,280 0 1,185,280 1,132,894 2.319 Arco 0 0 0.3294% 25,565 25.565 25,000 0 25,000 23,266 89 Arden Hills 0 0 0.1894% 0 0 3,016.465 264,738 2,751,727 2,953.126 10,137 Argyle 0 0 0.2514% 203,685 203,685 107,612 0 107,612 96,939 645 Arlington 0 0 0.1526% 745,593 636,892 740.723 0 740,723 689,762 2,066 Ashby 0 D 0.2856% 105,81E 105,818 170,002 0 170.002 160,545 467 Askov 0 0 0.0627% 64,584 64,584 133,097 0 133,097 126,319 363 Atwater 0 - 0 0.278996 278,063 231,643 353,517 0 353,517 331,862 1,026 Audubon 0 0 0.134396 101,718 101,718 179,473 0 - 179,473 169,832 480 Aurora ,0 0 0.0274% - 699,850 605,415 731,135 125,890 605,245 683,283... 1,711 Austin* 0 0 0.1803% 7,999,283 7,122.450 3.899,998 0 3,899,998 3,492,007 23,743 Avoca 0 0 0.3628% 27,393 27,393 32,500 0 32,500 30,446 115 Avon 0 0 0.1105% 246,654 175,958 700,000 0 700,000 667,542 1,342 Babbitt 0 0 0.0400% 387,432 299,542 775,072 66.858 708,214 730.468 1.590 Backus 0 0 0.0351% 30,201 30,201 130,397 0 130,397 124,891 316 Badger 0 0 0.4643% 103,236 - 103,236 85,728 0 85,728 79,249 444 Bagley 0 0 0.0361% 436,710 368,125 493,469 0 493,469 461576 1,234 Balaton 0 0 0.1758% 204,557 204,557 191,101 0 191,101 177,535 602 Barnesville 0 0 0.2561% 686,098 604,051 473,231 0 473,231 433,481 2,318 Barnum 0 0 0.0747% 133,024 133,024 143,935 0 143,935 134,439 586 40 Barrett 0 0 0.2563% 61,059 61,059 213,797 0 213,797 204.697 320 Barry 0 0 0.2940% 2,670 2,601 8,017 0 8,017 7,720 16 Battle Lake 0 0 0.0220% 82,610 42,044 475,677 0 475,677 456.535 736 Baudette 0 0 0.1728% 332,046 289,939 231,099 0 231099 212,456 1100 Baxter 0 0 0.0582% 0 0 5,649,924 0 5,649,924 5.447,729 7,921 Bayport 0.0031% 0 0.1203% 460074 335,228 1,041,976 197,119 844,857. 1,001,876 3,379 Beardsley 0 -0 02940% 76,375 76,375 38,395. - 0 38,395 34,460 223 Beaver Bay 0 0 0,0178% 22,623 12,520 265,931 1,609 264,322 261,123 170 Beaver Creek 0 0 0.2119% 42,813 42,813 141,612 0 141,612 135.289 290 Becker 0 0.0198% 0.1841% 0 0 4,278,256 0 4.278,256 4,208.973 4,289 Bejou 0 0 0.0571% 20,505 20,505 7.000 0 7,000 6,057 83 Belgrade 0 0 0.2198% 187,057 187.057 294,700 0 294,700 278,182 707 Belle Plaine 0 0 0.0871% 357,010 54,473 3,825,479 821,018 3.004,461 3,682,074 7.191 Bellechester 0 0 0.0567% 18,559 18,559 24,999 0 .24,999 23,505 163 Bellingham 0 0 0.2968% 62,803 62,803 23,687' 0 23,687 20,722 162 Beltrami* 0 0 0.3283% 26,697 26,697 23,097 0 23,097 21,390 86 Belview 0 0 0.1261% - 106,907 106,907 74,918 0 74,918 68,684 349 Bemidji 0 0 0.1280% 3,438,112 2,906,194 3,687,392 0 3,687,392 3,489,310 13,541 Bena 0 0 0.1371% 28,498 28,207 9,000 0 9,000 8.005 92 Benson 0 0.0536% 0.1277% 931810 776,650 1,238,267 0 1,238,267 1,161,014 3.316 Bertha 0 0 0.1789% 137,491 137,491 50,401 0 50,401 43,959 454 Bethel 0 0 0.1109% 31,203 31,203 248,271 59,022 189,249 238,689 534 Big Falls 0 0 0.0607% 70,407 - 70,407. 59,176 0 59,176 55,013 254 Big Lake 0 0 0.1298% 449,785 156,014 3,487,338 0 3,487,338 3,352,342 9,521 Bigelow 0 0 0.2625% 51,102 51,102 49,500 0 - 49,500 46,051 228 Bigfork 0 0 0.0180% 84,933 84,933 144,430 17,750 126,680 136,566 456 Bingham Lake 0 0 0.3935% 27,487 27,487 70,001 0 70001 66,658 145 Birchwood 0.0031% 0 0.1907% 5.640 0 323,000 0 323,000 315,892 933 Bird Island 0 0 0.1668% 427,519 370,344 327.819 0 327,819 301921 1.091 Biscay 0 0 0.1658% 12,136 12,136 16.144 0 16,144 15.174 106 Biwabik 0 0 0.0275% 311,235 263,385 779,739 20,585 759,154 755,323 866 Blackduck -0 0 0.0652% 205,111 205,111 196,002 0 196,002 182,249 718 Blaine 0 0.0049% 0.1970% 0 0 19,697,047 2,551,629 17,145,418 18,811,271 58,020 Blomkest 0 0 01720% 17,759 17,759 37,159 0 37,159 35,276 168 Blooming Prairie 0 0 0.1705% 755,917 647,677 -701,698 0 - 701,698 651,721 1,974 Bloomington 0 0 0.1681% 0 0 44,609.262 3,608,071 41001191 43,220,241 ' 84,701 Blue Earth 0 0 0.1561% 1725,019 1,535.819 1,162,842 0 1,162,842 1,067,782 3,345 Bluffton 0 0 0.2050% 32,771 32,771 40,783 0 40,783 38,261 198 Bock 0 0 0.0400% 15,864 15,864 19.486 0 19,486 18,274 100 Borup 0 0 0.2095% 18,100 18,100 8,500 0 8.500 7,588 77 Bovey 0 0 0.1113% 258,092 258,092 241,451 35,924 205,527 223,092 718 Bowlus 0 0 0,0381% 38283 38,283 29,720 0 29,720 27,388 255 40 Boy River 0 0 0.0668% 4,648 4,648 4,000 0 4.000 3,703 34 Boyd 0 0 0.1861% 67,486 67,486 78,074 0 78,074 73,258 168 Braham 0 0 0.1276% 496.093 423,901 494,573 0 494,573 460.606 1,660 Brainerd 0 0 0.0582% 4,260,178 3,637.320. 4,112.830 0 4.1125830 3,825.763 13.956 , Brandon 0 0 0.1739% 91.331 91331 183.001 0 183,001 173,595 452 SEPTEMBER-OCTOBER 20I0 MINNESOTA CITIES 9 I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES I Total Captured TlF Fiscal Dlsp Taxable Fiscal Disp Total State 10BZ/BIO Average Average Average Average Average Tax Tax Capacity Contrlb Tax Capacity Distrib Tax Capacity Tax Capacity County City School Special Total Capacity Tax Capacity Tax Capacity (cabin&C/I) Tax Rate Tax Rate Tax Rate Tax Rate ETC Rate Breckenridge 1,426,877 95.062 0 1,331,815 0 335,153 0 49.13% 56.7796 9.04% L31% 116.26%. Breezy Point 5,495,929: 127,032 0 5,368,897 0 2.428,555. 0 28.03% 33.14% 8.59% 0.94% 70.69% Brewster 261,706 0 0 261.706 0 121,015 428,966 - 43.30% 5220% 1.62% 2.41% 99.53% Brlcelyn 98,235 0 0 98,235 0 32,929 0 43.04% 139.4896 5.44% 0.17% 188.14%. Brook Park 79,860 0 0 79,860 0 20,490 0 45.01% 18.20% 14.15% 0.16% 77.52% Brooklyn Center 23,378,317 2,420,044 2.998,144 17,960,129 7,002,213 8,439,807 0 42.64% 5110% 32.67% 9.51% 135.92% Brooklyn Park 74,001,405 8,707,919 9,355,140 55,935,818 13,467,937 24,352,971 0 42.64% 4416% 2218% 10.06% 119.03% Brooks 53,463 6,810 0 46,653 0 20,133 0 55.06% 39.52% 7.82% 5.35% 107.75% Brookston 60,146 0 1,252 58,894 3,626 11,329 0 58.78% 41.25% 17.05% 1.08% 118.16% Brooten 424,156- 0 0 424,156 0 155,836 0 48.26% 48.58% 20.28% 614% 123.2696 Browerville 308,135 0 0 308,135 0 89,054 819 56.93% 57.27% 16.80% 0.10% 13110% Browns Valley 111,698 0 0 111,698 0 23,953 0 50.18% 188.01% 0 279% 240.97% Brownsdale* 276,512 0 0 276,512 '- 0 37,037 2,103 46.19% 68.41% 1511% 1.78% 13149% Brownsville 351,977 0 0 351,977 0 49,562 0 57.55% 31.53% 38.20% 0 127.28% Brownton 291,232 0 0 291,232 0 21,916 0 52.27% 114.84% 17.07% 0.89% 185.07% Bruno 6/065 0 0 61065 0 24,264 0 45.01% 2011% 33.74% 2.44% 101.30% Buckman 157,608 0 0. 157,608 0 41,103 0 49.38% . 13.96% 15.86% 0.66% 79.86% Buffalo 13,637,704 115,448 0 13,522,256 0 3,884,286 0 36.03% 35.99% 28.09% 1.60% 10172% Buffalo Lake 395,779 0 - 0 395,779 0 156,605 0 42.63%' 113.68% 193% 1.99% 160.23% Buhl 331,424 22,603 5,063 303,758 68,782 28,584 0 47.63% 76.10% 6.34% L08% 13115%. Burnsville 76,007,155 5,521,246 11,718,765 58,767,144 9,456,081 29.675,974 0 27.27% 38.5796 22.5036 5.13% 93.47% Burtrum -40268 0 '0 40,268 0 5,510 0 55.68% 40.9396 28.57% 010% 125.28% Butterfield 128,736 2158 0 126,578 0 33,007 0 55.84% 98.57% 9.52% 0.84% 164.76% Byron 4,001,810 37.967 0 3,963,843 0 710,952 54,236 55.57% 51.51% 36.81% 0 143.8896 Caledonia 1,657,064 22,101 0 1,634,963 0 532,671 0 55.98% 3837% 37.94% 1,0096 1332996 Callaway 86,915 0 0 86,915 0 41,629 0 38.44% 41.42% 919% 2.28% 91.33% Calumet 109,846 0 5,911 103,935 28,963 24,346 0 39.96% 122.07% 13.91% 0.42% 176.37% Cambridge 7,450,611 176,654 0 7273.957. 0 2,867,400:, 96,134 42.25% 6331% 30.80% 01696 136.51% Campbell 61,319 0 0 6/319 - 0 27,740 0 5014% 55.45% 3.01% 51396 11372% Canby 668,849-: 33,560. 0 635,289 0 133,556 0 502896 98.69% 10.73% 2.00% 161.70% Cannon Falls 4,110,968 131,145 0 3,779,823 0 1,442,086 0 422996 61.06% .18.69% 3.65% 125.69% Canton 138,530 0 0 138,530 0 31,104 0 3283% 75.08% 22.03% 0 129.94% Carlos 272,290 0 0 272,290 0 57,785 0 44.03% 49.99% 12.20% 1.22% 107.44% Carlton 427,889 0 0 427,889 0 111,656 0 64.17% 57.94% 9.06% 01596 131_31% Carver 3,423,838 9,283 32,687 3,381,868 369,630 91,938 0 39.50% 46.53% 35.82% 3.77% 125.61% Cass Lake 223,864 4,883 0 218,981 0 131,212 0 25.4896 130.60% 39.97% 0.10% 196.16% Cedar Mills - 31,075' 0 0 31,075 0 7,510 0 45.66% 62.75% 14.01% 0.21% 122.63% • Center City 742493 0 0 742,493 0 121,041 0 6155% 224236 20.38% 1.34% 105.70% Centerville 3,805124 0 207,781 3,597,343 597,662 547287 0 35.57% 54.35% 3729% 725% 134.46% Ceylon 59,544 0 0 59,544 0 6,804 0 30.98% 234.54% 12.80% 0.48% 278.79% Champlin 22832,263 3,332,698 1,797,548 17,702017 3,997519 4122,716 0 42.64% 35.02% 19.94% - 9.53% 107.13% 0 Chandler 121,438 0 0 121,438 0 63,476 1076 29.61% 70.00% 1436% 0.34% 1142916 Chanhassen 41,178,964 532,007 3,994,619 36,652,338 2,133,257 10,667,075 0 39.58% 25.17% 30.13% 5.86% 100.74% Chaska 27,932,738 5,793,917 2,973.464 19,165,357 3,718,693 8,049,861 0 39.51% 21.54% 35.84% 5.59% 102A9% Chatfield 1,867,913 131,470 0 1,736,443 0 337263 0 41.72% 61.80% 33.69% 0 137.21% Chickamaw Beach 228,073.-: 0 0 228,073 0 70,537 - 0 27.69% 13.09% 4.43% 0.10% 45.31% Chisago City 5,500,820 9,335 0 5,489,190 : 0 833,837 56,521 60.83% 3424% 20.24% 1.71% 117.02% Chisholm 1558,592: 12,989 59,080 1,486,523 365,539 267,477 8,638. 46.83% 77.45% 17.68% 0.86% 142.82% Chokio 137,053 1,613 0 135,440 0 28,215 0 41.64% 104.38% 19096 L33% 149.25% Circle Pines 4,245,188 628,224 150,560 3,466,404 945,990 372,507 0 35.57% 48.6796 3729% 5.49% 127.02% Clara City 655,375 5,567 0 649,808 0 205,486 0 4629% 92.32% 1039% 0.83% 149.84% Claremont 305,972 13,416 0 292,556 0 132,730 0 44.31% 119.17% 14.67% 0 178.14% Clarissa 236,550 9,227 0 227,323 0 49,541 275 52.49% 6227% 16.04% 0.10% 13090% _ Clarkfield 287299 0 0 287299 0 96,076 0 49.29% 10139% 6.19% 0.71% 15759% Clarks Grove 280,323 0 0 280,323 0 75,802 0 57.98% 30.32% 24.31% 1.2096 113.81% Clear Lake 449,502 0 0 449,502 0 125,309 0 44.48% - 70.68% 1236% 186% 129.37% Clearbrook 161,875 0 0 161,875 0 44,406 0 48.48% 10926%. 2218% 5.07% 184.9896 Clearwater 1,507,775 0 - 0 1,507,775 0 503,428 0 35.80% 68.4396 123396 0.91% 117.4796 Clements 54,610 0 0 54,610 0 15,663 0 46.64% 85.89% 17.80% 0.33% 150.66% Cleveland 418,342 0 0 418,342 0 36,484 0 36.40% 50.90% 3.19% 0.18% 90.68% Climax* 68,678 0 0 68,678 0 15,879 0 5936% 72.8096 4.71% 7.72% 14459% Clinton 106,103 0 0 106,103 0 21,237 0 43.46% 42.41% 0.95% 3.18% 90.00% Clitherall 37,138 0 0 37,138 0 6,101 0 34.46% 19.79% 7.02% 0.56% 6283% Clontarf 78,575 0 0 78,575 - 0 19,239 0 44.96% 49,64% 8.42% 0.8796 103.88% Cloquet 8536,333 39,759 0 8,496,574 0 2,8r-373,279 0 65.8096 30.01% 3317% 16.69% 145.67% Coates 260,612 0 46,013 214,599 22,120 120,496 0 2727% 16.61% 25.39% 3.81% 73.08% Cobden 30,562 0 0 30,562 0 11,677 0 47.31% 4.91% 18.61% 0.19% - 71.01% Cohasset 7,688,839 41,118 0 7,646,651 29,883 1,632,882 26,309 47.66% 25.14% 16.25% 0.42% 89.47% Cokato 1,850,432 137,051 0 1,713,381 0 689,867 0 35.82% 59.94% 25.83% 0 121.58% Cold Spring 3,183,802 57,466 0 3126336 0 980224 0 48.54% 2723% 25.00% 1.21% 101.99% Coleraine 1,359,695 170,015 36,071 1,153,034 55,030 208,994 0 44.61% 61.42% 16.97% 0.42% 123.43% Cologne 1,441,130 0 71,600 1,369,530 206,048 201,641 0 39.51% 48.58% 16.71% 3.95% 108.74% Columbia Heights 14,398,494 803298 624,231 12,970,965 3,579,416 2,399,578 0 33.08% 56.88% 24.4096 7.42% 12178% Columbus 6,397,930 0 769,350 5,628580 485,421 2,097,915 0 3557% 34.30% 12.64% 6.75% 89.26% Comfrey 149,307 0 0 149,307 0 40,319 0 44.57% 11724% 0.84% 019% 162.84% Comstock 64,843 s 0 0 64,843 0 13,496 0 55.93% 24.68% 4.79% 237% 87.76% Conger 57,745 0 0 ' 57,745 0 14,481 0 58.29% 94.62% 24.74% 0 177.64% Cook 357,694 0 47,573 310,121 31,992 171,556 0 53.93% 88.55% 14.88% 8.97% 166.33% Coon Rapids 60,770,548 2,398,419 7,466,365 50,905,764 11,499,218 19,491.762 0 35.57% 34.58% 19.94% 5.53% 95.6396 Corcoran 8,223,012 269,315 422,473 7,528,158 593,702 1,044,444 0 42.64% 33.00% 29.79% 6.77% 112.20% Correll 12280 0 0 12,280 0 3,719 0 50.72% 80.12% 7.32% 31896 141.34% Cosmos 213,453 0 0 213,453 0 46,686 0 4318% 100.22% 10.80% 021% 154.41% illCottage Grove 32289,993 1,322,866 2,239,313 28,727,814 5,830,239 6,079,793 0 27.78% 35.29% 31.44% 4.50% 99.01% Cottonwood - 758,708 10,552 0 748,156 0 191,731 9,841 45.20% 56.59% 24.53% 242% 127.74% Courtland 500,103 26,993 0 473,110 0 93216 0 52.32% 24.01% 17.15% 0.54% 94.02% Cromwell 206,812 36,183 0 170,629 0 49,767 0 67.62% 66.99% 36.92% 158% 173.11% Crookston* 2,966,905 19,676 0 2,947,229 0 1,015,678 0 60.53% 53.24% 22.10% 5.09% 140.96% Crosby 1,426,826 170,887 87,103 1,168,836 120.138 421,453 1,650 2722% 99.46% 10.97% 0.98% 138.64% *Data for cities in Polk and Mower counties is preliminary. 1 O M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 2010 MV TAX RATES I I 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tao Rate City LGA City LGA City Levy Dlsp Levy Net Levy Atter MVNC Population Tax Rate Reknb Cut II Breckenridge 0 0 0.1652% 1316,617 1,168,004 756,134 0 756,134 685,067 3,466 Breezy Point 0 0 0.0226% '0 0 1,779,091 0 1,779,091 1,707,659 1823 Brewster 0 0 0.4239% 180,836 180,836 136,608 0 136,608 125,724 475 Bricelyn 0 0 0.2673% 126,071 126,071 137.020 0 137.020 127,999 319 Brook Park 0 0 0.0912% 19,043 19,043 14.538 0 14.538 13,387 143 Brooklyn Center 0 0.0380% 0.1815% 1,480,854 411,378 12,504,251 3,327,522 9,176.729 12,000.229 29,810 Brooklyn Park 0 0.0246% 0.2227% 184.239 0 30,039,884 5,340.306 24,699.578 28,708.782 75.306 Brooks 0 0 0.3081% 29,438 29,438 18,435 0 18,435 16,794 137 Brookston 0 0 0.0400% 7,128 7,128 25.032 739 s 24,293 23,930 89 Brooten 0 0 02198% 145,144 145,144 206,050 0 206,050 194.009 646 Browerville 0 0 0.0698% 213,757 213,757 176,551 0 176,551 163,169 696 Browns Valley 0 0 0.3477% 363,680 363,680 210,000 0 210,000. 192,500 606 Brownsdale* 0 0 01431% 168,304 168,304 189,174 0 189,174 176,917 691 Brownsville 0 0 0.1708% 61,118 61,118 110,978 0 110,978 105.077 471 Brownton 0 0 0.1658% 230,476 230,476 334,451 0 334,451 314,594 802 Bruno 0 0 0.0627% 18,483 18,483 12,279 0 12,279 11,224 106 Buckman 0 0 0.1776% 15,859 15,859 22,000 0 22.000 20,702 247 Buffalo 0 0.0193% 0.1350% 533,909 145,886 4,866,525 0 4.866,525 4,673.786 14,193 Buffalo Lake 0 0 0.2014% 210,943 210,943 449,902 0 449,902 429,406 719. Buhl 0 0 -0.0644% 336,349 336,349 282,838 51,684 231,154 257,956 1000 Burnsville 0.0050% 0 0.2480% 0 0 26,079,765 3,415,631 22,664,134 24,981129 61,042 Burtrum 0 0 0.1653% 28,200 28,200 16,483 0 16,483 14,951 113 Butterfield 0 0 0.3796% 161,578 161,578 124,770 0 124,770 114,952 491 Byron 0 0 0.0554% 310,670 135,120 2048,767 0 2,048,767 1.967.869 5.045 Caledonia 0 0 0.1710% 941,158 832,011 627,368 0 627,368 573.588 2,883 Callaway 0 0 0.1196% 36,232 36.232 36,002 0 36.002 33.525 202 Calumet 0 0 0.1113% 122.371 122,371 153,960 27,082 126878 144,243 368 Cambridge 0 0 0.0188% 829,662 426,004 4,613,460 0 4,613,460 4,426,832 7,644 Campbell 0 0 L1366% 58,644 58,644 34,000 - 0 34,000 30824 186 Canby 0 0 01615% 760,708 664,915 626,992 0 626,992 579,412 1,779 Cannon Falls 0 0 01163% 695,570 469,740 2,307,809 0 2,307,809 2,204,832 4,052 Canton 0 0 0.3519% 81,600 81,600 104,007 0 104,007 97,643 317 Carlos 0 0 0.0828% 45,872 45,872 136,120 0 136.120 129,880 411 Carlton 0 0 0.1242% 234,094 234,094 247,897 0 247.897 231,371 779 Carver 0 0.0436% 0.1875% 214,262 40,299 1,740,598 167,128 1.573,470 1,688,240 3,024 Cass Lake 0 0 0.1371% 422,309 411,951 285,996 0 285,996 " 273,254 816 Cedar Mills 0 0 0.1938% 6,089 6,089 19,500 - 0 19,500 18,623 46 Center City 0 0 0.1037% 42,999 26,951 166,500 0 166.500 159,601 633 Centerville 0 0 0.1576% 0 0 2,231,694 276,430 1955,264 2,155,804 3,881 Ceylon 0 0 0.1338% 131,155 131,155 139,653 0 139,653 130,368 331 Champlin 0 0 0.2615% 210,033 0 7,564,690 1,366,152 6,198,538 7.194,269 23,934 faChandler 0 0 0.3628% 71.042 71.042 85,001 0 85,001 79,651 235 Chanhassen 0 0.0143% 0.1916% 0 0 9,716,805 490.355 9,226.450 9,539,468 23,629 Chaska 0 0 0.1875% 420,413 37,441 4,880,353 751.180 4.129.173 4,707,593 24.177 Chatfield 0 0 0.0967% 806,165 666,960 1,073,192 0 1073.192 1008,754 2,586 Chickamaw Beach 0 0 0.0351% 0 0 ,29,850 0 29,850 26,545 142 Chisago City 0 0 0.1043% 80,868 0 1.881,920 0 1,881,920 1,816,957 4,718 Chisholm 0 0 0.2248% 2,966,477 2,711,002 1,460,990 309,032 1,151,958 1,331,378 4,592 Chokio 0 - 0 - 0A112% 123,270 - 123,270 141,368 - 0 141,368 132,294 416 Circle Pines 0 0 0.1576% 202,874 27,244 2,120,740 433,746 L686,994 2,041,071 5,279 Clara City 0 0 0.4869% 431,576 358,536 599,909 0 599.909 564,545 1,292 Claremont 0 0 0.1610% 153,171 153,171 348,624 0 348,624 331,684 599 Clarissa 0 0 0.2105% 160,621 160,621 141,566 0 141,566 131205 604 Clarkfield 0 0 0.2506% 353,635 353,635 291,305 0 291.305 269,192 861 Clarks Grove 0 0 0.2590% 169,044 169,044 84,999. 0 84,999 76,289 692 Clear Lake 0 0 0.1160% 34,609 10,244 317,699 0 317,699 305,619 455 Clearbrook 0 0 0.1323% 148,252 148,252 176,860 0 176,860 165,713 537 Clearwater - "0 0 0.1160% 180,423 102,433 1,031,7.25 0 1,031,725 991,517 1,573 Clements 0 0 0.1579% 35,385 35,385 46,906 0 46,906 44,085 151 Cleveland 0 0 0.1574% 126,548 126,548 212,936 0 212.936 201296 714 Climax* 0 0 0.5931% 45,448 45,448 50,006 0 50,006 46,733 210 Clinton 0 0 0.2940% 141.930 141930 44,998 0 44,998 38889 412 Clitherall 0 0 0.0220% 16,870 16,870 7,350 0 7,350 6,520 111 Clontarf 0 0 0.1277% 22,622 22,622 39,001 0 39,001 36,888 158 Cloquet 0 0 0.0531% 2,420,835 1,968,020 2,550,113 0 2,550,113 2,383,349 11,855 Coates 0.0050% - 0 0.2227% 0 0 38,639 3,005 35,634 36,696 179 Cobden 0 0 0.1579%. ' 3,505 3,505 :1,500. 0 1500 1,328 45 Cohasset 0 0 0.0180% 0 0 1929,663 7,448 1922,215 1,888,492 2,624 Cokato 0 0 0.1266% 512,636 401045 1.026,966 0 1,026,966 974,177 2,760 Cold Spring 0 0 0.1278% 565,173 456,875 851,355 0 851,355 802,786 3,825 Coleraine 0 0 0.1113% 347,361 285.046 750,365 42,178 708,187 718,417 1.832 Cologne 0 0 0.1055% 124,857 59,597 759,000 93,690 665.310 728,695 1,408 Columbia Heights 0 0 0.1490% 1,592,883 895,180 9,075,732 1,697,717 7,378,015 8,709,948 18,361 Columbus 0 0 0.1363% 0 0 2,075,676 145,260 1,930,416 2,006,006 4,104 COmfrey 0 0 0.4436% 102,391 102,391 175,053 0 175,053 165,540 354 Comstock 0 0 0.2561% -17,441 17,441 16,000 0 16,000 14,853 110 Conger 0 0 0.1657% 21,341 21,341 54,636 0 54,636 52,031 137 Cook 0 0 0.0400% 162,408 162,408 302,486 27.880 274,606 286,546 575 Coon Rapids 0 0 0.2615% 225,000 225,000 21372,023 3,767,249 17,604.774 20,048,489 63,162 Corcoran 0 - 0 0.1251% 0 0 2,666.047 182.130 2,483,917 2.610,778 5,842 Correll 0 0 0.2906% 8,593 8,593 9,838 0 9,838 9206 33 Cosmos 0 0 0.2789% 133,472 133,472 213,927 0 213,927 202,016 520 Cottage Grove 0.0031% 0 0.2086% 0 0 12,154,999 2,015,782 10,139,217 11522,077 34,502 IDCottonwood 0 0 0.1284% 313,616 259,768 423,908 0 423,908 398,621 1,158 Courtland 0 0 0.1775% 64,132 64,132 113,606 0 113,606 107,512 609 Cromwell 0 0 0.0428% 25,100 25,100 114,304 0 114.304 109.524 214 Crookston* 0 0 0.1519% 3,449,593 3,056,748 1,569,232 0 1.569,232 1.404,675 8,093 Crosby 0 0 0.0722% 883.070 756.240 1,281,856 118,959 1,162.897 1.217,148 2,315 SEPTEMBER-OCTOBER 20I0 MINNESOTA CITIES I I I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES I Total Captured TlF Fiscal msp Taxable Fiscal Disp Total State JOB7,/8lO Average Average Average Average Average Tax Tax Capacity Contrlb Tax Capacity Distrib Tax Capacity Tax Capacity County City Schoot Special Total . Capacity Tax Capacity Tax Capacity (cabin&C/I) Tax Rate Tax Rate Tax Rate Tax Rate MC Rate Crosslake 15,995,029 66,564 12,312 15.916,153 47 9.653,400 0 2&03% 17.52% 8.3796 0.14% 54.06%. Crystal 18,611134 ' 335,707 1,349,463 16,925,964 4,203,704 3,606,684 0 42.64% 42.87% 28.62% 9.84% 123.97% Currie 64,448 0 0 64,448 0 12,840 0 28.29% 140.17% 3.38%-. 0.34% 172.18% Cuyuna 335,710. 0 1,265 - 334,445 6,214 72,183 0 28.03% 33.68% 11.36% 1.03% 74.09% Cyrus 89,627 0 - 0 89,627 0 12.780 0 37.21% 46.22% 5.31% 1.26% 90.0096 Dakota 218101 0 0 218,101 0 14,619 0 43.21% 50.53% 16.68% 0.50% 110.92% Dalton 85.622 0 0 85,622 0 21551 0 34.31% 63.07% 243996 0.56% 122.33% Danube 175,578 0 0 175,578 0 32,740 0 41.26% 76.05% 0.12% 133% 118.76% Danvers 63,060 0 0 63,060 0 23,897 0 44.75% 44.86% 8.20% 0.87% 98.67% Darfur 28,596 0 0 28,596 0 8,423 0 53.91% 1119036 139% 0.84% /68.04% Darwin 215,578 0 0 215,578 0 36,698 0 45.6676 23.6696 20.49% 0.21% 90.02% Dassel 974,439 25,316 0 949,123 0 281,612 5,208 - .45.43% 53.87% 25.47% 0.21% 124.9896 Dawson 591,684 6,954 0 584,730 0 209,260 0 26.23% 131.21% 2106% 7.03% 185.5496 _ Dayton 6,499,526 113,069 595,254 5,791,203 660,473- 1,524,850 0 42.56% 50.87% 23.92% 6.87% 12422% De Graff 47,558 0 0 47,558 0 9,764 0 44.96% 30.49% 8.42% 0.87% 84.74% Deephaven 12,067101 0 170,096 11,897,005 193,622 526,187 0 42.64% 15.60% 18.66% 9.61% 86.51% Deer Creek 145,844 0 0 145,844 0 29,405 0 34.46% 34.96% 14.82% 0.56% 84.80% Deer River 396,904 6,424 0 390,480 0 161,520 0 45.90% 120.03% 10.87% 0.42% 177.22% Deerwood 702,358 0 51,476. 650,882 14,297 297,681 0 27.97% 70.81% 1128%- 103% 1110896 Delano 5,705,773 76,306 0 5,629,467 0 1,561372 0 35.8296 42.42% 26.89%: 0 105.13% Delavan 82,880 0 0 82,880 0 21,307 0 -42.28% 120.66% 41096 017% 167.21% Delhi 31,231 0 0 31,231 0 7,234 0 47.25% 50.86% 7.95% -0.3396 106.3916 Dellwood 4,312,934 0 116,547 4,196,387 47,928 427,774 0 27.78% 8.01% 26.3916 5.40% 67.57% Denham 40,823 0 0 40,823 0 10,826 0 45.01% 18.47% 1135% 0.16% 74.98% Dennlson 189,355 0 0 189,355 0 40,609 0 41.93% 48.06% 29.61% 0.69% 120.29% Dent 74,022 0 0 74,022 0 19,946 0 34.46% 85.11% 1165% 4.5696 135.78% Detroit Lakes 10,323,257 736,661 0 9,586,596 0 4,445,055 23,266 37.70% 32.57% 9.30% 1.60% 81.15% Dexter* 257,949 55,836 0 202,113 0 114,907. 0 44.6396 60.58% 4,94%... 0.50% 110.66% Dilworth 2,545,724. 19,279. 0 2,526,445 0 852,700 0 55.77% 5116% 27.60% 237% 136.90% Dodge Center 1641,755 93,656 0 1,548.099 0 545,218. 61612 45.9296 70.7796 16.10% 0 13279% Donaldson 19,758 0 0 - 19,758 0 13,460 0 38.75% 86.43% 10.09% 8.81% 144.08% Donnelly 95,196 0 0 95,196 0 13,468 0 42.11% 4425% 41.44% 6.06% 133.87% Doran 10,485 0 0 10.485 0 2,739 0 50.27% 114.45% 10.03% 5.18% 179.9396 Dover 459,271 0 0 459,271 0 67,992 0 55.63% 43.62% 40.90% 0 140.14% Dovray 41,230 0 0 41,230 0 30,542 0 29.61% 33.96% 4.13% 034% 68.03% Duluth 67,238,067 2,056,564 0 65,181,503 0 20,094,996 163,641 55.37% 26.33% 20.97% 5.65% 108.32% Dumont 48,05 0 0 48,005 0 23,478 0 55.43% 78.12% 3.84% -5.72% 143.11% Dundas 1,704,003 555,353 0 1148,650 0 770,916 0 29.66% 60.08% 3115% 0.49% 121.3896 Dundee 16,665. 0 0 16.665 0 3,273 0 44.19% 1115996 " 3.47% 0.35% 159.6096 Dunne!! 44130 0 0 44,130 0 15,874 -0 36.12% 213.45%. 189% 0.48% 251.9596 Eagan 93,892,272 1,243,551 14,206,508 78,442,213 8,979,126 36,185,464 0 27.27% 30.41% 2327% 4.43% 85.38% 0 Eagle Bend 217,671 1,881 0 215,790 0 47,826 0 53.06% 671096 5.98% 0.10% 126.23% Eagle Lake 1,527,299 107,871 0 1,419,428 0 104,212 0 41.93% 35.83% 19.62% 0.19% 97.56% 1 East Bethel 10,693,956 0 469,417 10,224,539 2,016,647 - 1,191,655 0 35.57% 40.61% 23.06% 256% 101.81% East Grand Forks* 5,449,814 155,053 0 5,294,761 0 1,561.939 20,114 61.70% 5224% 14.90% 5.92% 134.75% East Gull Lake 5,355,341 0 0 5.355,341 0 3,104,308 0 27.6996 1035% 17.63% 010% 55.77% Easton 93,395 0 0 93,395 0 26,679 0 43.56% 130.83% 6.29% 0.17% 180.85% Echo 96,459 0 0 96,459 0 32,966 0 51.95% 130.63%. 7,34% - 0.71% 190.6396 Eden Prairie 120,483,124 3,274,193 16,806,830 100,402101. 6,221,580 42,048,274 0 42.64% 28.55% 25.68% 9.57% 106.45% Eden Valley 545,779 13,601 0 532,178 0 148,035 0 46.57% 75.33% 18.38% 1.00% 141.2896 Edgerton 548,845 12,116 0 536,729 0 158,783 0 34.95% 56.78% 4.78% 0.34% 96.85% Edina 120,816,822 4,960,337 10,942,782 104,913,703 3,537,906 31,861,991 0 42.64% 22.97% 19.54% 9.51% 94.66% Effie 54,317 0 1,241 53,076 4,227 7,551 0 47.66% 42.27% 16.25% 7.23% 113.41% Eitzen 128,874 0 0 128,874 0 27,817 0 54.96% 74.08% 35.94% 0 164.9896 Elba 96,418 0 0 96,418 0 12,143 0 43.21% 38.76% 19.05% 0.50% 10152% Elbow Lake 472,919. - 0 0 472,919,. 0 139,559 11,628. 48.34% 144.67% 1129% 6.07% 210.38% Elgin -630,768 137,174 0 493,594 0 83,412 0 52.84% 66.05% 20.4396 0.50% 139.82% Elizabeth 53,674 0 ' 0 53,674 0 7,843 0 34.35% 58.99% 24.45% 0.56% 118.35% Elk River 25,921,245 888,279 0 25,032,966 0 9,076,877 0 44.48% 44.39% 39.97% 4.70% 133.54% Elko New Market 3,870,235 0 88,267 3,781,968 547,960 211,047 0 33.23% 39.58% 29.42% 3.60% 105.8396 Elkton* 90,529 7,537 0 82,992 0 9,076 0 4626% 43.38% 6.63% 1.78% 98.04% Ellendale 378,527 11,259 0 367,268 0 58,012 0 53.71% 73.59% 16.90% 0 144.2016 Ellsworth 130,261 0 0 130,261 0 26,027 0 43.43% 132.81% 4.57% 178% 182.59% Elmdale - 76,407. - 0 0 76,407 0 9,088. 0 4938% 2164% 54.11% 0.66% 125.80% Elmore 183,596 0 - 0 183,596 0 53,334 0 39.93% 119.07% 037% 0.17% 159.54% Elrosa 119,571 7,236. 0 112,335 0 37,014 0 48.40% 24.45% 20.3996 3.57% 96.79% Ely 2,231733 74,353 232,31.9 1,925,061 178,318 773,190 0 52.51% 69.95% 4.02% 2.4796 128.95% Elysian 908,281 0 0 908,281 0 272,574 0 37.38% 54.04% 5.79% 0.18% 97.39% Emily 3,305,953 8,193 45,514 3,252,246 6,952 1,677,132 0 28.03% 25.75% 11.36% 1.03% 66.16% Emmons 152,197 0 0 152,197 0 20,119 0 58.32% 90.63% 5.67% 0 154.62% Erhard 62,043 0 0 62,043 0 15,398 0 34.46% 41.91% 4.80% 1.20% 82.36% Erskine* 148,311 0 0 148,311 0 46,406 0 61.71% 107.04% 22.11% 5.52% 196.37% Evan 31,716 0 • 0 31,216 0 2,894 0 47.19% 44.37% 13.78% 019% 105.5396 Evansville 270,242 34,075 0 236,167 0 55,190 0 44.03% 93.78% 6.64% 122% • 145.67% Eveleth 1,187,967 0 43,783- 1,144,284 290,810 269,879 0 45.9096 79.61% 0 0.8696 126.3696 Excelsior 4,714,251 93,430 608,279 4,012,542 223,253 1,587,585 0 42.64% 30.67% 18.66% 9.65% 10161% Eyota 1166,459 0 0 1,166,459 0 131,390 0 55.52% 50.38% 40.77% 0 146.66% Fairfax 455,887 0 0 455,887 0 83,976 0 41.71% 94.65% 8.30% 1.33% 145.9996 Fairmont 7,415,158 532,584 0 6.882,574 0 2,922,990 430,136 38.97% 40.55% 28.43% 0.48% 108.4396 Falcon Heights 4,502,771 423,650 172,222 3,906,899 1,124,046 548,464 0 50.25% 20.65% 13.07% 7.25% 91.21% Faribault 16,969,470 413,143 0 16,556,327 0 5,724,951 500,000 28.42% 37.70% 20.67% 4.21% 90.99% Farmington 18,068,578 227,913 1031,901 16,808,764 2,951,168 2,831,597 0 27.26% 49.27% 53.4396 3.82% 133.78% Farwell 18,412 0 0 18,412 0 2,546 0 - 37.70% 52.68% 148096 1425% 119.4296 40 Federal Dam 190,993 0 0 190,993 0 89,876 0 - 31.02% 29.27% 2.38% 0.10% 62.77% Felton 77,536 0 0 77,536 0 13,473 0 55.83% 22.43% . 25.57% 6.73% 110.5636 Fergus Falls 9,940,132 419121 0 9,521,011 0 3,654,696 - 133,149 33.75% - 42.83% 24.53% 1.56% 102.66% Fertile* 298,574 0 0 298,574 0 69,375 0 62.24% 54.81% 5.57% 7.72% 130.3396 Fifty Lakes 2,729,299 0 0 2,729,299 0 1,528,030 0 28.03% 19.64% 4.43% 1.03% 5312% *Data for cities in Polk and Mower counties is preliminary. I2 MINNESOTA CITIES SEPTEMBER-OCTOBER 20I0 I 2010 MV TAX RATES if - 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy Dlep Levy Net Levy After MVHC Population Tax Rate Relmb Cut III Crosslake 0 0 0.0236% 0 0 2,787,882 9 2.787,873 2,757,284 2,094 Crystal 0 0.0125% 0.2288% 2,221,185 1,455,066 8,865,674 1,609,514 7,256,160 8,478,437 22,014 Currie 0 0 0.1758% 70,556 70,556 90,336 0 90,336 84,819 200 Cuyuna 0 0 0.0722% '11,670 2164 114,800 2.159 112,641 110.464 284. Cyrus 0 0 0.3135% 78,197 78,197 41,426 0 41,426 37,324 273 Dakota 0 0 0.3004% 34.858 34,858 110,200 0 110,200 105,226 324 Dalton 0 0 0.1142% 49,376 49,376 54,000 0 54,000 50,456 235 Danube 0 0 0.5541% 138,300 138,300 133,519 0 133,519 124,199 471 Danvers 0 0 0.1277% 10,047 10,047 28,286 0 28,286 26,972 94 Darfur 0 0 0.4436% 39,466 39,466 32,000 0 32000 29,550 114 Darwin 0 0 0.1454% . 38,188 38,188 51,001 0 5L001 47,943 298 Dassel 0 0 0.1266% - 367,909 301,387 512,021 0 512,021 481,852 1.320 Dawson 0 0.1802% 0.1861% 618,144 540,099 767,222 0 767,222 727,854 1.379 Dayton 0 _ 0 0.2394% 0 0 3,235,125 289,314 2945,811 3,160,122 5,072 De Graff 0 0 0.1277% 24.544 24,544 14,500 0 14,500 13,161 122 Deephaven 0 0 0.2024% 0 0 1,885,509 29,219 L856,290 1.876,487 3,814 Deer Creek 0 0 0.2050% 59.687 59,687 50.986 0 50,986 47,191 314 Deer River 0 0 0.0413% 290,756 290,756 468,681 0 468,681 442781 924 Deerwood 0 0 0,0722% - 34,175 2,495 470.830 9,960 460,870 .454,590 585 Delano 0 0 0.1105% 127,464 0 2,388,020 0 2,388020 2,283,968 5,386 Delavan 0 0 01561% 50,541 50,541. 100,000 0 100,000 95,072 171 Delhi 0 0 0,1261% 16,360 16,360 _ 15,883 0 15,883 14,778. 69 Dellwood 0.0031% 0 0.1703% 0 0 339,821 3,798 336,023 339,415 1,144 Denham 0 0 0.0619% 234 234 7,540 0 7,540 7273 33 Dennison 0 0 0.2584% 15,447 7,209 91,000 0 91.000 87,350 170 Dent 0 0 0.0449% 43.016 43,016 63,000 0 63,000 59,365 180 Detroit Lakes 0 0 0.1196% 974,291 690.536 3,122,055 0 3122,055 2,981,604 8,631 Dexter* 0 0 0.4110% 73,542 73,542 122,444 0 122,444 115,724 319 Dilworth 0 0 0.0885% 628,962 493,847. 1,292,542 0 1,292,542 1,226,659 .3,698 Dodge Center 0 -0 01610% 766,100 624,915 1,111,681 0 1111681 1,047,298 2,561 Donaldson 0 0 0.2722%. 5,074 4,832 17,075 0 17,075 16,558 28 Donnelly 0 0 0.1653% 52,517 52,517 42,125 0 - 42125 38,880 230 Doran 0 0 0.1652% 12,430 12,430 12,000 0 12,000 11,162 39 Dover 0 0 0.0708% 96,418 96,418 200,325 0 200,325 190,151 633 Dovray 0 0 0.1828% 14,218 14,218 14,000 0 14,000 13,032 62 Duluth 0 0 0.0937% 31509,961 27,437,478 17,176,688 0 17,176,688 16.050,862 85,530 Dumont 0 0 0.2206% 20,819 20,819 37,500 0 37,500 35,500 110 Dundas 0 0 0.2618% 95,924 43,894 690,060 0 690,060 663,111 L038 Dundee 0 0 0.5649% 22,020 22,020 18,596 0 18,596 17,203 72 Dunne!! 0 0 0.1561%- 62,321 62,321 94,197 0 - 94,197 89,129 176 Eagan 0.0050% 0.0160% 0.1992% 0 0 26,267,933 2,414,688 23,853,245 25,255,149 65.933 Eagle Bend 0 0 0.2105% 162,343 162,343 144,784 0 144784 134,254 584 Eagle Lake 0 0 0.1474% 557,037 480,947 508.600 0 508.600 472,051 2,315 East Bethel 0 0.0150% 0.1145% 0 0 4,874,146 721,859 4,152,287 4,631,227 12,090 East Grand Forks* 0 0 0.1493% 2,903,060 2,471,550 2.766,326 0 2,766,326 2,582,411 7,908 East Gull Lake 0 0 0.0527% 0 0 554,010 0 554,010 547,620 1,003 Easton 0 0 02673% 32,942 32,942 122,187 0 122,187 116,923 183 Echo 0 0 0.2506% 73,116 73,116 126,000 0 126,000 119,308 233 Eden Prairie 0 0.0173% 01572% 0 0 30,353,362 1,685,550 28,667,812 29,856,407 62,536 Eden Valley 0 - 0 0.1721% 232,499 232,499 400,884 0 400,884 379,198 912 Edgerton 0.0700% 0 0.3215% 303,245 303245 304.733 0 304,733 283,887 989 Edina 0 0.0061% 0.1847% 0 0 24,894,931 794,154 24,100777 24,582,648 49,491 Effie 0 0 0.0180% 9,606 9,606 24,000 1567 22,433 22,848 • 95 Eitzen 0 0 0.1710% 33,844 33,844 95,472 0 95,472 91,038 221 Elba 0 0 0.0321% 29,764 29,764 37,368 0 37,368 35,066 197 Elbow Lake 0 0- 0.2563% 416,952 349,082 689,318 0 689,318 655,074 1,201 Elgin 0 0.0658% 0.0892% 288.669 -.288,669 326,018 0 326,018 303,626 962 Elizabeth 0 0 0.1142% 30,809 30,809 31,661 0 31.661 29,519 167 Elk River 0 0 0.1753% 686.820 0 11,112,634 0 11.112,634 10,711,610 23,633 Elko New Market 0 0 0,1874% 331,316 164,986 1,699.450 202,564 1,496,886 1639,920 3,943 Elkton* 0 0 0.4110% 12.653 12,653 36,000 0 36,000 34,332 143 Ellendale 0 0 0.1218% 130,584 130,584 270,273 0 270,273 256,529 651 Ellsworth 0 0 0.2497% 167,117 167,117 173,001 0 173,001 161,339 514 Elmdale 0 0 0.1324% 5,568 5568 16,536 0 16,536 15,778 101 Elmore 0 0 0.1561% 223,359 223,359 218,612 0 218,612 203,458 -:633 Elrosa 0 0 0.2198% 25,734 25,734 27,461 0 27,461 25,637 165 Ely 0 0 0.1500% L908,121 L713,366 - 1,461231 114,593 1,346,638 1,362,419 3,464 Elysian 0 0 0.2501% 51,819 20,524 490,790 0 490.790 474,550 586 Emily 0 0 0.0722% 0 0 839.290 L934 837,356 818,673 931 Emmons 0 0 0.2129% 84,818 84.818 137,935 0 137,935 130,297 405 Erhard 0 0 0.0310% 26.872 26,872. 26,000 0 26,000 24,187 128 Erskine* 0 0 0.1829% 99,344 99,344 158,747 0 158,747 149,898 421 Evan 0 0 0.0328% 15,134 _ 15134 13,850 - 0 13,850 12,856 82 Evansville 0 0 0.3266% -122,595 122,595 221,470 -0 221,470 209,673 565 Eveleth 0 0 0.0930% 2,385,826 2,186,891 1,124,849 214,010 910,839 1,024,217 3,527 Excelsior 0 0 0.2024% 95,125 - 0 1,291,528 61,042 1,230,486 1,281,542 2,360 Eyota 0 0 0.0708% 504.329 422,699 587,604 0 587,604 550,165 1.875 Fairfax 0 0 0.1340% 464,669 398,946 431,502 0 431,502 400,775 L226 .Fairmont 0 0 0.1338% 4251,257 3,722,165 2,857,178 0 2,857.178 2,613,449 10,619 Falcon Heights 0 0 02037% 436,721 310,126 1,022,944 216.008 806,936 991.538 5.762 Faribault 0 0 0.1066% 5,677,361 4,772,748 6,284,984 0 6.284,984 5,874,831 23,312 Farmington 0.0050% 0 - 01474% 0 0 9,586,356 1,304,003 8,282,353 9,171,305 18,959 Farwell 0 0 - 0.1504% 14,652 14,652 9,700 0 9,700 8,865 45 IIIFederal Dam - 0 0 0.0668% 1,875 - 0 55,900 0 55,900 52,846 93 Felton 0 0 0.1351% 27,550 27,550 17,394 0 17,394 15,853 192 Fergus Falls 0 0 0.1142% 4,192,809 3.563,824 4,084,707 0 4,084,707 3,800,895 13,733 Fertile* 0 0 0.3283% 267,091 267,091 163,646 0 163,646 148,728 848 Fifty Lakes 0 0 00351% 0 0 536,007 0 536,007 527,681 412 S E P T E M B E R-O C T O B E R 2010 M I N N E S O T A CITIES 1 3 I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES Total Captured TIF Fiscal Disp Taxable Fiscal Disp Total State 10BZ/BtO Average Average Average Average Average Tax Tax Capacity Contrib Tax Capacity Dlstrib Tax Capacity Tax Capacity County City School Special Total Capacity Tax Capacity Tax Capacity (cabin 8 C/I) Tax Rate Tax Rate Tax Rate Tax Rate NTC Rate • Finlayson 245,923 0 0 245,923 0 74,985 0 45.01% 44.74% 14.15% 2.44% 106.34% Fisher* 145,734: 2,557 0 143,177 0 18,132 0 6298% 72.20% 16.69% 5.52% 157.40% Flensburg 130,272 0 0 130,272 0 6,729 - 0 49.3896 21.49% 15.50% 0.66% 87.04% Floodwood 189,955 0 0 189,955 0 47,111 0 49.68% 145.03% 40.97% 1.94% 237.63% Florence 10,121 0 0 10,121 0 2,561 0 45.05% 108.69% 10.73% 0.35% 164.83% Foley 1,440,630 9,122 0 1,431,453 0 376,979 0 65.02% 57.80% 42.45% 0 165.26% Forada 283,724 0 0 283,724 0 116,280 0 44.03% 34.23% 1220% 1.22% 91.67% Forest Lake 23,593,899 1,293,646 2,063,022 20,235,618 2,157,835 5,492,972 0 27.78% 31.53% 12.90% 6.83% 79.03% Foreston 327,166 0 0 326,962 0 60,518 0 64.33% 37.03% 19.39% 0.16% 120.9096 Fort Ripley 79,847- 0 0 79,847 0 15,345 0 28.0396 20.67% 20.95%. 0.14% 69.79% Fosston* 593.794 100,857 0 492,937 0 203,942 4,759 6162% 60.98% 23.52% 7.72% 153.84% Fountain 277,453. 0 0 277,453 0 76,275 0 3217% 5619% 14.86% 0 103.22% Foxhome 32,477 0 0 32,477 - 0 4,479 0 50.27% 53.61% 10.03% 0 113.91% Franklin 127,035 0 0 127,035 0 13,880 0 39.73% 114.08% 4.26% 1.33% 159.39% Frazee 493146 45,351 0 447,795 0 115,811 2,139 38.53% 58.60% 18.48% 0.39% 116.00% Freeborn 88,701 0 0 88,701 0 14,993 0 55.11% 93.80% 4.47% 0 153.38% Freeport 549,202 101643 0 447,559 0 223,849 4,873 47.35% 79.50% 17.83% 121% 145.88% Fridley 34,512,629 1,828,288 6,128,318 26,556,023 4,306,659 17,229,459 0 35.57% 32.28% 33.12% 7.82% 108.79% Frost 60,484 2,433 0 58,051 0 - 8,730 0 42.02% 172.85% 2.77% 0.17% 217,81% Fulda 455,149 0 0 455,149" 0 71,388 0 28.03% 68.31% 1.11% 128% 98.7396 Funkley 7,916 0 0 7,916 0 -998 0 54.00% 12.63% 21.00% 9.52% 97.15% Garfield 220,003 0 0 220,003 0 82,552 9,316 44.03% 37.05% 12.20% 1.97% 95.2596- Garrison 349,455 0 0 349,455 0 237,004 0 28.03% 55.25% 20.95% 5.00% 109.2396 Garvin 31,785 0 0 31,785 0 7,736 0 40.31% 163.57% 0 0.35% 204.23% Gary 59,748 0 0 59,748 0 10,166 0 37.61% 6916% 19.03% 5.02% 130.82% Gaylord 1,131739 88,314 . 0 1,043,425 0 271,309 0 53.14% 70.64% 5.92% 0.77% 130.46% Gem Lake 1,294,479 0 142,776 1,151,703 28,675 391,250 0 50.25% 33.48% 21.77% 6.54% 112.05% Geneva 277,924 0 0 277,924 0 27,683- 0 5816% 34.54% 16.77% 0.65% 110.1296. Genola 93,736 0 0 93,736 0 63,783 0 49.38% 13.7606 15.8696 0,6696 79.67% Georgetown 54,724 0 0 54,724 0 10,611 0 55.57% 34.72% 29.80% 237% 122.45% Ghent 169,213 57,822 0 111391 0 20,696 0 45.26% 86.06% 24.41% 0.35%-. 156.08% Gibbon 289,586 5,680 0 283,906 0 48,770 0 50.03% 128.86% 5.56% 0.77% 185.22% Gilbert 641.560 0 23,246 618,314 129,904 105,679 0 49.49% 122.97% 0 0.86% 173.3296 Gilman 143.004 0 0 143,004 0 18,660 0 65.04% 11.60% 42.47% 0 119.11% Glencoe 3,377,628 143,679 0 3,233,949 0 770,756 103,868 52.92% 63.18% 5.60% 0.89% 122.5996 Glenville 257178 0 0 257,178 0 51.529 0 57.44% 59.10% 4.51% 1.3816 122.43% Glenwood 1,825,761.. 21,585 0 1,804176 0 614,332 0 36.23% 5426% 13.87% 3.81% 10817% Glyndon 599,997 79,956. . 0 520,041 0 72,995 0 55.66% 72.71% 25.41% 237%. 156.15% Golden Valley 42,334,627 3,536,203 6,796,284 32,002,140 1,969,812 18,347,446 0 42.64% 4820% 26.02% 8.85% 125.70% Gonvick 79,356 0 0 79,356 0 18,173 0 42.90% 114.4096 17.85% 5.07% 180.22% Good Thunder 276,381 0 0 276,381 0 34143 0 39.46% 95.87% 8.06% 0.19% 143.58% III Goodhue 729,581 729,098 0 600,483 0 147,122 0 43.83% 62.80% 2026% 0.72% 127.62% Goodridge 16,987 0 0 16,987 0 3,374 0 77.06% 55.93% 616% 5.73% 144.87% Goodview 3,152,864 0 0 3,152,864 0 1,030,279 0 43.11% 44.15% 16.54% 0.50% 104.31% Graceville 171,488 0 0 171,488 0 31,680 0 45.94% 110.21% 3.66% 6.11% 165.93% Granada 81,226 0 0 81,226 0 9,009 0 38.94% 43.64% 8.29% 0.48% 91.34% Grand Marais 1806620 - 0 122,374 1,684,146 32,019 726,149 0 30.02% 47.66% 2.06% 3.13% 82.87% Grand Meadow* 525,939 31,015 0 494,924 0 75,601 0 4417% 75.77% 23.63% 0.50%" 144.06% Grand Rapids 9,240,555 109,049 1,182,228 7,949,278 312,309 4,316,755 - 0 46.37% 63.69% 15.82% 023% 12611% Granite Falls 1676,711 77,489 0 1,599,222 0 562,511 211,200 50.63% 74.80% 9.86% 0.5896 135.87% Grant 8,187,643 0 166,999 8,018,395 297,261 407,852 0 27.78% 10.76% 23.68% 5.33% 67.54% Grasston 95,222 0 0 95,222 0 10,746 0 74.15% 13.55% 24.50% 0.16% 112.35% Green Isle 390,754 0 0 390,754 0 47,125 0 53.24% 11823% 6.08% 0.77% 178.32% Greenbush 227,625 0 0 227,625 0 49,688 0 6213% 80.85% 10.45% 8.08% 161.5096 Greenfield 5232034 104,254 286,368 4,820,004 248,650 755,893 - 0 42.64% 25.13% 33.73% 677% 108.27% Greenwald 120,625 0 0 120,625 0 - 21,688 0 48.66% 24.87% 19.68% 121% 94.41% Greenwood 3,776,525 0 89,717 3,686,808 26,763 152,709 0 42.64% 17.94% 18.66% 9.65% - 88.88% . Grey Eagle 162,605 0 0 162,605 0 32,495 0 56.2296 64.63% 2911%. 0.48% 150.44% Grove City 235,390 0 0 235,390 0 42,087 0 44.44% 74.35% 13.06% 021% 132.04% Grygla 70,165 0 0 70,165 0 20,365 0 4111% 71.72% 13.60% 5.23% 131.67% Gully* 19,948 0 0 19.948 0 10,802 0 62.98% 42.72% 24.01% 5.52% 13524% Hackensack 487,414 56,212 0 431,202 0 257,738 0 27.69% 52.18% 5.36% 0.10% 85.34% Hadley 29,439 0 0 29,439 0 13,653 0 29.61% 91.72% 14.36% 0.34% 136.02% Hallock 356,173 10,058 0 346,115 0 99,560 0 38.42% 108.96% 9.64% 8.81% 165.83% Halma 11,531 0 0 11,531 0 3,121 0 38.22% 73.19% 5.90% 8.81% 12613% Halstad 175,631. 1,443 0 174,188 0 32,926 0 39.65% 95.64% 7.79% 5.02% 14811% Ham Lake . 18,463,638 0 1,248,259 17,215,379 1,941,410 3128,08,3 .0 35.57% 23.37% 19.46% 4.78% 83.18% Hamburg 320,924 0 13.541 307,383 141,325 38,422 0 39.25% 89.69% 16.39% 3.97% 149.29% Hammond 59.146 0 0 59,146 0 3,680 0 52.92% 41.93% 20.66% 0.50% 116.00% Hampton 564,273 0 18,438 545,835 155,935 60,112 0 27.27% 32.86% 20.18% 3.82% 84.13% Hancock 207,344 0 0 207,344 0 48,627 0 3910% 120.07% 17.51% 1.33% 178.01% Hanley Falls 63,073 0 0 63,073 0 13,227 0 48.8996 136.92% 319% 1.67% 190.67% Hanover 3,076,226 11,672. 6,704 3,057,850 69229 312,671 - 0 37.74% 40.92% 31.02% 3.28% 112.97% Hanska 151,346 1,684 0 149,662 0 29,140.. 0 .44.99% 78.18% 13.42% 0.19% 136.77% Harding 73,754 0 0 73,754 0 16,708 0 49.38% 12.20% 15.86% 0.66% 7811% Hardwick 70,069 0 0 70,069 0 9,343 0 28.57% 36.98% 15.61% 0.32% 8149% Harmony 632,166 71,672 0 560,494 0 179,587 0 30.22% 107.73% 13.66% 0 151.61% Harris 1,156,750 0 0 1156,750 0 249,422 0 59.36% 39.46% 34.69% 1.34% 134.85% Hartland 122,282 0 0 122,282 0 21,921 0 58.22% 97.76% 8.01% 0 163.98% Hastings 19,712,852 23,441 1,660.752 18,028.659 4,190,595 4,366,548 0 27.27% 52.68% 20.20% 5.33% 105.47% Hatfield 48,265 0 0 48,265 0 7,887 0 38.17% 16.58% 2029% 0.34% 75.37% Hawley 1,017,153. 26,868 0 990,285 0 204,962 4,048 55.93% 41.66% 33.76% 2.37% 133.72% 0 Hayfield 702,416 48,945 0 653,471 0 175,053 0 44.61% 69.87% 11.96% 127% 127.71% Hayward - 138,623. 0 0 138,623 0 33.884 0 56.91% 98.78% 23.01% - 138% 180.08% Hazel Run 24,283 0 0 24,283 0 2,668 0 54.39% 37.06% 11.45% 167% 104.58% Hector 529,065 0 0 529,065 0 136,167 0 40.85% 121.51% 0 1.99% 164.35% Heidelberg 119,811 0 0 119,811 0 7,109 0 38.06% 25.04% 31.34% 0.18% 94.62% Henderson 503,215 2,352 0 500,863 0 56,339 0 53.24% 129.58% 19.55% 0.77% 203.13% *Data for cities in Polk and Mower counties is preliminary. �4 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 2010 MV TAX RATES 1 I-- 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy Disp Levy Net Levy After MVHC Population Tax Rate Rehnb Cut I. Finiayson 0 0 0.0912% 34,625 34.625 110.014 0 110,014 105,055 326• Fisher* 0 0 0.2469% 73,431 73,431 103,373 0 103,373 97,311 369 Flensburg 0 0 0.2195% 20,226 20,226 28,000 0 28,000 26,346 234 Floodwood 0 0 0.0438% 134,300 134,300 275,499 0 275,499 261,448 530 Florence 0 0 0.1673% 9,643 9,643 11,000 0 11,000 10,292 44 Foley 0 0 0.0808% 755,879 634,131 827,380 0 827,380 773,095 2,651 Forada 0 0 0.0828% 0 0 97,105 0 97.105 91,084 194 Forest Lake - 0.0031% 0 0.1371% 0 0 7,030,722 649,703 6,381,019 6,722,353 17,496 Foreston 0 0 0.0400% 68,533 68,533 121,074 0 121074 114,573 510 Fort Ripley 0 0 0.0582% 0 - 0 16,500 0 16,500 14,673 69 Fosston* 0 0 0.2201% 616,153 531,772 302,633 0 302,633 286,610 1,489 Fountain 0 0 0.2106% 64,069 64,069 155,895 0 155,895 148,353 374 Foxhome 0 0 0.1652% 25,020 25,020 17,412 0 17,412 15,957 90 Franklin 0 0 0.1673% 137,335 137,335 144.915 0 144.915 135,237 479 Frazee 0 0 0.2440% 484,119 429,375 262,395 0 262,395 236,799 1.351 Freeborn 0 0 0.2673% 60,657 60,657 83,200 0 83,200 78,268 273 Freeport 0 0 0.1694% 84,947 84,947 357,499 0 357,499 342.939 528 Fridley 0 0.0123% 0.1941% 1,585,353 759,414 9,806,134 1,234.208 8,571,926 9,404,787 26.347 Frost 0 0 0.1561% 52,072 '52,072 100,339 0 100,339 95,113 214 Fulda 0 0 0.5649% 460,350 402,389 310,903 0 310,903 284,459 1,251 Funkley 0 0 - 0.0652% 143 143 1,000 0 1.000 961 6 Garfield 0 0 0.0828% 32,980 32,980 81,500 0 81,500 77,575 306 Garrison 0 0 0.0582% 0 0 193,070 0 193,070 187,742 227 Garvin 0 0 0.1758% 37,175 37,175 51,989 0 51,989 48,932 137 Gary 0 0 0.4575% 51.307 51,307 41,319 0 41,319 38,143 188 Gaylord 0 0 0.1526% 888,409 768,161 737.120 0 737,120 681,385 2230 Gem Lake 0 0 0.1907% 2,808 0 395,828 10,203 385,625 391,310 387 Geneva 0 0 0.1218% 67,861 67,861 95.998 0 95,998. 90,380. 450 Genola 0 0 0.1776% 1,661 547 - 12,900 0 12,900 12,401 63 Georgetown o 0 0.0217% 12,477 12,477 19,000 0 19,000 17,921 117 Ghent 0 0 0.1356% 81,059 81,059 95,864 0 95,864 89,798 355 Gibbon 0 0 0.1340% 223,931 223,931 365.843 0 365,843 345.621 757 Gilbert 0 0 0.0930% 782,145 685,125 907,156 146.833 760,323 857,876 _ 1,758 Gilman 0 0 0.0808% 9,574 9,574 16,593 0 16,593 15,696 228 Glencoe 0 0 0.1658% 1.308,232 1,063.153 2,063,109 0 2,063,109 .1,947,516 5,743 Glenville 0 0 0.2129% 187,608 187,608 152,000 0 152.000 140,356 653 Glenwood 0 0 0.1504% 765,389 634,282 978,910 0 978,910 919,103 - 2,606 Glyndon 0 0 0.1351% 310,374 259,159 378,094 0 378,094 354,488 1,182 Golden Valley 0 0 0.1837% 0 -0 16,328171 904,419 15,423,752 15,968.952 20,312 Gonvick 0 0 0.1323% 60,511 60,511 90,785 0 90,785 85,598 269 Good Thunder 0 0 0.2402% 152,330 152,330 264,972 0 264,972 250,664 568 ailGoodhue 0 0 0.0567% 203,985 203,985 377,115 0 377,115 357,191 925 Goodridge 0 0 0.5458% 22,891 22,891 9,500 0 9.500 8.389 123 Goodview 0 0 0.3004% 152,747 37.598 1,392,003 0 1.392,003 1,339,038 3,662 I Graceville 0 0 0.2940% 192,222 192,222 189,000 0 189,000 175.929 568 Granada 0 0 0.4159% 94,513 94,513 35,445 0 35,445 30,989 279 Grand Marais 0 0 0.0155% 170,069. 96,422: . 802,647 0 802,647 769,295 1,426 Grand Meadow* 0 - 0 0.3413% 275,438 275,438 375,000 0 375,000 352,698 910 Grand Rapids 0 _ 0 0.0187% 1,446,514 963,410. 5,378,601 315,669 5,062,932 5,160,089 10,576 Granite Falls 0 0.0817% 02506% 787,737 631,865 1,258,711 0 1.258,711 1,184.423 2,947 Grant 0.0031% 0 0.1498% 0 0 893,595 30,761 862,834 882,737 4,219 Grasston . 0.0186% 0 0.1276% 15,506 - 15,506 12.901 0 12,901 11.927 155 Green Isle 0 0 0.1526% 52,511 52,511 462,001 0 462,001 447,777 502 Greenbush 0 0 0.1527% 220,770 220,770 184,028 0 184,028 170,149 706 Greenfield 0 0 0.0996% 0 0 1277.859 66,447 1,211,412 1,259,123 2,940 Greenwald 0 0 0.1694% 28,016 28,016 30,000' 0 30,000 28,011 185 Greenwood 0 0 0.2024% 0 0 666,251 4,985 661,266 665,106 806 Grey Eagle 0 0 0.1653% 62,474 62,474 105.099 0 105,099 99,353 329 Grove City 0 0 0.2789% 162,833 162,833 175,001 0 175,001 163,418 604 Grygla 0 0 0.0595% 43,305 43,305 50,325 0 50,325 47,115 230 Gully* 0 0 0.2201% 16,959 16,711 8.525 0 8,525 7,899 91 Hackensack 0 0 0.0205% 6,235 0 225,001 0 225,001 212,640 305 Hadley 0 0 0.3628% 15,852 15.852 27,000 0 27,000 25,531 62 Hallock 0 0 0.2722% 436,578 375,642 377,127 0 377,127 349,228 1,094 Halma 0 0 01962% 11,301 11,301 8,440 0 8,440 7,763 58 Halsted 0 0 0.4846% 164,160 164,160 166,600 0 166,600 155,259 569 Ham Lake 0 0.0066% 0.2532% 0 0 4,484,569 461,163 4,023,406 4,332626 15,324 Hamburg 0 0 0.1055% 59,179 59,179 403,276 127,600 275,676 387,680 553 Hammond 0 0 0.1169% 42,992 42,992 24,800 0 24,800 22,476 223 Hampton 0.0050% 0 0.2579% 88,374 88,374 216,840 37,484 179,356 206.375 777 Hancock 0 0 0.3342% 234,164 234,164 248,954 0 248,954 232,389 704 Hanley Falls 0 0 0.2506% 74,862 74,862 86,361 0 86.361 80,833 293 Hanover 0 0 0.1359% 181,658 63,204 1,277,886 26,491 1,251,395 1,233,705 2,727 Henske 0 0 0.1775% 115,672 115,672 117,000 0 117,000 109,022 396 Harding 0 0 01776% 1214 1214 -9,000 0 9,000 8,650 110 Hardwick 0 0 02953% 47,333 47,333 25,914 0 25,914 23,403 200 Harmony 0 0 0.2106% 381,789 320,299 603,803 0 603.803 572,639 1103 Harris 0 0 0.0244% 173,025 129,844 456,500 0 456.500 434,915 1.253 Hartland 0 0 0.1218% 50.761 50,761 119,540 0 119,540 113,701 258 Hastings 0.0050% 0 0.2590% 389,928 0 L1,581,026 2,084.067 9,496.959 10,979,908 22.491 Hatfield 0.0700% 0 0.2940% 3,969 3,969 8,000 0 8.000 7590 40 Hawley 0 0 0.1279% 611,844 538,040 412595 0 412,595 377,466 - 1.917 Hayfield 0 6 0.1431% 419,156 352,569 456,567 0 456,567 426,541 1,330 111 Hayward 0 0 0.2590% 30,991 30.991 136,935 0 136,935 131,177 229 Hazel Run 0 0 0.2506% 14,411 14,411 9,000 0 9,000 8,197 52 Hector 0 0- 0.2014% 358,481 294,846 642,846 0 642,846 610.842 1,122 Heidelberg 0 0 0.0989% 0 0 29,999 0 29,999 27,828 106 Henderson 0 0 0.0902% 275,087 275,087 648.993 0 648,993 622,673 925 S E P T E M B E R-O C T O B E R 2010 M I N N E S O T A CITIES i j 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES I , Total Captured TIE Fiscal Dlsp Taxable Fiscal lisp Total State 10BZ/B10 Average Average Average Average Average Tax Tax Capacity Contrlb Tax Capacity Dlstrlb Tax Capacity Tax Capacity County City School Special Total ' Capacity Tax Capacity Tax Capacity (cabin 8 C/I) Tax Rate Tax Rate Tax Rate Tax Rate NTC Rate • Hendricks 208,798 0 0 208,798 0 46,771 0 43.16% 125.06% 5.57% 1.88% 175.66% Hendrum 94,953 0 0 94,953 0 10,423 0 39.89% 12173% 8.07% 5.02% 174.22% Henning 322,301 12,255 0 - 310,046 0 84,965 0 <34:18% 60.34% 12.34% 0.56% 10742% Henrietta 33,958 0 0 33,958 0 7,784 0 : 45.01% 7123% 15.61% 0.16% 1319996 Herman 194,595 0 0 194,595 0 82,295 0 48.60% 127.58% 1.79% 6.07% 184.04% Hermantown 9,681,459 0 0 9,681459 0 3,580,063 0 59.01% 33.49% 1136% 10896 104.94% Heron Lake 260,504 0 0 260,504 0 . 85,990 370,576 41.78% 85.05% 9.43% 2.33% 138.59% Hewitt 90,753 0 0 90,753 0 10,474 0 53.69% 54.07% 33.80% - 0.10% 141.65% Hibbing 8,882,015 122,241 460,067 8,294,935 830,980 2,586,832 22,386 50.92% 65.75% 1.29% 1.40% 119.36% Hill City ` 313,882 7,104 0 306,778 0 85,401 0 31.20% 79.51% 34.57% 0.14% 145.42% Hillman 16,249 0 0 16,249 0 2,350 0 49.38% 273956 12.41% 0.66% 89.85% Hills 252,089 1,861 0 250,228 0 33,573 0 2857% - 40.88% 9.23% 0.32% 79.00% Hilltop 385,515 33,208. 78,326 273,981 360,345 216,428 0 35.53% 98.9396 24.34% 7.30% 16610% Hinckley 1.861,839 261.919 0 1.599,920 0 1,136,057 0 44.97% 3111% 141296 2.44% 92.65% Hitterdal 75,558 58 0 75,500 0 11,069 0 55.53% 40.00% 34.64% 6.73% 136.9056 Hoffman 317,205 35,611 0 281,594 0 91,749 0 49.38% 35.99% 11.82% 0.36% 97.54% Hokah 282,744 0 0 282,744 0 35,693 0 54.28% 103.51% 18.08% 0 175.87% Holdingford 378,735 14,944 0 363,791 0 49,891 18,970 47.55% 7110% 28.71% 0.53% 147.89% Holland 63,647 0 0 63,647' 0 17,942 0 34.68% 4178% 17.33% 0.34% 9413% Hollandale 124,894.. 0 0 124,894 0 20,196 0 5827%'- 86.59%` 24:65% 0.91% 170.41% Holloway 198,228 0 0 198,228 0 163,489 0 44,9296 86.01% 7.2816. 0.87% 139.0996 Hoff 22,649 0 0 22,649: 0 2,769 0 41,70% 22.08% 5.52% 6.66% 75.95% Hopkins 22,300,861 1,995,955 2,858,918 17,445,988 2,913,208 9,244,048 0 42.64% 49.00% 23.03% 9.92% 124.5896 Houston 455,767 31,282 0 424,485 0 125,033 0 55.80% 99.98% 7.78% 0 163.56% Howard Lake 1,631,347 263,455 0 1,367,892 0 510,009 0 35.81% 46.61% 25.70% 0 108.11% Hoyt Lakes 1,530.672 10,856 73,753 1,446,063 71,246 366.124 0 57.26% 76.95% 27.89% 1.08% 163.17% Hugo 15,389,404 685,152 809,433 13,891,937 1,6,19,069 2,436,607 0 27.78% 33.55% 20.81% 4.14% 86.27% Humboldt 10.935 0 0 10,935` 0 6,089 0 38.75% 15.94% 10.09%. -4.60% 69.3896 Hutchinson 11,036,086 f 216,150 0 10,819,936 0 3,442,723 55,826 53.1396 57.06% - 13.80% 2.94% 126.92% Ihien 21,678 0 0 21,678 0 4,029 0 35.58% 73.35% 1826% 0.34% 127.53% Independence 7,371,320 0 197,465 7,173,855 275,413 532,617 0 42.64% 33.82% 210396 704% 104,53%. International Falls 3,155,212 0 0 3,155,212 0 1,495,214 630 30.23% 64.91% 13.33% 014% 108.61% Inver Grove Heights 38,716,047 2,380,191 3,745,086 32,590,070 4,924,940 9,335,547 0 27.27% 42.34% 22,55% 4.42% 96.58% lona 40,951 0 0 40,951 0 6,198 0 28.14% 92.54% 12.03% 0.34% 133.05% Iron Junction 50,437 0 3,714 46,723 4,388 17.028 0 60.16% 22.68% 4.92% 1.08% 88.85% Ironton 303,795 7,038 23,161 273,596 23,556 73,689 0 27.47% 109.46% 10.69% 1.03% 148.65% Isalti 4,001,059 123,218 0 3,877;841 0 890,190 0 42.36% 55.87% 30:89% 016% 129.28% Isle 941,301 34,258 0 907,043 0 322,977 0 64.33% 60.42% 13.43% 0.16% 138.34% Ivanhoe 161,456 4,343 0 157,113 0 31,540 0 - 40.59% -147.50% 36.17% 154% 225J30% Jackson 1,885,072 61288 0 1,623,784 0 661,105 108.001 39.96% 64.99% 15J38% 0.32% - 12115% iioJanesville 1,094,527 11,509 0 1,083,018 0 83,048 0 53.00% 60.22% 15.64% 018% 129.03% Jasper 194,078 0 0 194,078 0 716430 33.76% 74.60% 19.61% 0.34% 128.31% Jeffers 126,380 0 0 126,380 0 52,814 0 38.14% 64.09% 3.19% 0.32% 105.75% Jenkins 525,105 28,304 0 496,801 0 227,100 0 28.03% 48.62% 8.59% 0.14% 85.38% Johnson 10.894 0 0 10,894 0 2,670 0 49.49% 64.26% 5.69% 6.11% 125.54% Jordan 4,524,549 57,639 361,973 4,104,937 1,030,103 930,447 0 33.20% 6084% 24.33% 5.3096 123.67% Kandiyohi 230,963 0 0 230,963 0 20,026 0 54.26% 4711% 19.85% 150% 122.72% Karlstad 212,852 0 0 212,852 0 60,233 0 38.29% 80.34% 5.93% 8.70% 133.26% Kasota 34,1,585 0 - 0 >344,585 0 41,267 0 38.06% 2122% 13.76% 018% 73.2396 Kasson 3,417,593 191,032 0 3,226,561 0 507,093 0 46.71% 54.35% 34.45% 0 135.5096 Keewatin 324,898 0 7,291 317,607 104,007 37,752 117 40.99% 82.01% 4.65% 0.42% 128.08% Kelliher 103,335 0 0 103,335 0 21,586 0 54.00% 40.45% 31.82% 9.52% 135.79% Kellogg 282,261 0 0 282,261 0 37,281 0 52.80% 74.75% 13.55% 0.509‘ 141.5996 Kennedy 44,552 0 0 44,552 0 15.632 0 36.42% 174.87% 7.42% 8.81% 227.52% Kenneth 30,393 0 0 30,393 0 1,443 0 2857% 3126% 15.61% 0.32% 75.77% Kensington 139,276 3,727 0 135549 0 47,470 - 0 43.7496 - 39.29% -11.57% 32.6596 12725% Kent - 23,389 0 0 23,389 0 4,914 0 50.06% 384896 9.72% 0 9826% Kenyon 1,190,453 37,848 0 1,152,605 - 0 189,032 2,146 4220% 51,46% 19.07% 0.7296 113.44% Kerkhoven 299,447 0 0 2,39,447 0 47,781 0 44.16% 80.46% 15.90% 0.87% 141.3996 Kerrick 37,165 0 0 37,165 0 8,903 0 45.01% 3722% 34.16% 0.16% 116.54% Kettle River 86,977 0 0 86,977 0 17,355 0 64.42% 95.56% 3.30% 0.15% 163.42% Kiester 144,863 3,942 0 140,921 0 32,816 0 42.93% 183.00% 5.28% 0.17% 231.40% Kilkenny 76,803 0 0 76,803 0 5,629 0 37.02% 51.50% 23.85% 018% 112.56% Kimball 558,651 22,393 0 536,258. 0 174,018 0 48.20% 69.00% 19.46% 2.25% 138.91% Kinbrae 20,758 0 0 20,758 0 2,816 0 44.19% 19.05% 3.47% 189% 68.61% Kingston 92,193- 0 0 92,193 0 3,494 0 45.66% 22.93% 20.49% 0.21% 89.28% Kinney 45,029. 0 1,383 43,646. 20,571 20,206 0 19.5096 213.86% 0 10896 234.4396 La Crescent 3,810,740 97,563 0 3,713,177 0 616,653 0 56.19% 51.83% 20.45% 0.01% 128.47% Lafayette 242,180 3,618 0 238,562 0 54,548 0 52.10% 40.77% 16.84% 0.54% 110.24% Lake Benton 272,114 19,324 0 252,790 0 46,891 0 39.29% 83.47% 1153% 0.59% 134.88% Lake Bronson 33,217 0 0 33,217 0 10,967 0 35.29% 171.6056 1.32% 8.81% 217.0296 Lake City 5,263,213 186,516 0 5,076,697 0 1,524,717 90,184 49.63% 53.08% 12.25% 0.55% 115.52% Lake Crystal 1,639,889 206,399 0 1.433,490 0 220,533 22,844 4176% 65.72% 20.66% 019% 128.32% Lake Elmo 13,596,722 0 1,015,346 12,580,838 839,486 2,602,904 0 27.78% 20.48% 21.46% 5.15% 74.87% Lake Henry 67,483 21,400 0 46,083 0 30,693 0- 48.66% 41.14% 1624% 12196 10725% 2 Lake Lillian 117,804. 0 0 117,804 0 21,473 0 53.89% - 70.46% 10.01% 15096 135.85% Lake Park 354,363 0 0 354,363 0 86,858 0 38.53% 28.25% 3.78% 2.28% 72.84% Lake Shore 5,742,921 0 0 5,742,921 0 2,935,151 0 2769% 13.95% 19.24% 010% 60.99% Lake St.Croix Beach 1,018,368 0 17,409 1,000,959 182,972 48,267 0 27.78% 42.54% 19.73% 2.56% 92.60% Lake Wilson 80,636 0 0 80,636 0 12,231 17.847 25.27% 77.70% 7.46% 0.34% 110.76% Lakefield 710,635 41,700 0 668,935 0 129,264 0 39.45% 67.6296 13.16% 2.33% 12256% Lakeland 2,496,182 0 91,050 2,405,132 216,289 262,772 0 27.78% 38.42% 19.73% - 2.56% 88.49% ipLakeland Shores 708,332 0 15.288 693,044 29,084 39,766 0 27.78% 15.14% 19.73% 2.56% 65.21% Lakeville 65,235,789 1,998,918 5,623,626 57,613,245 7,429,875 14,733,925 0 27.27% 36.62% 29.75% 4.86% 98.51% Lamberton 347,476 0 0 347,476 0 152,755 0 45.67% 85.76% 2,19% 0.33% 133.95% Lancaster 93,983 0 0 93,983 0 14,171 2.944 38.64% 60.65% 10.35% 8.81% 118.45% Landfall 150,020 68,232 50,781 31,007 810,264 148,579 0 27.78% 38.70% 25.28% 626% 98.02% Lanesboro 582,324 23,303 0 559,021 0 140.780 0 31.68% 74.01% 14.33% 0 120.0296 *Data for cities in Polk and Mower counties is preliminary. 1 6 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 I 2010 MV TAX RATES I I- 2010 AID AND LEVY DATA I Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy Dlsp Levy Net Lary After MVHC Population Tax Rate Relmb Cut • Hendricks 0 0 0.3924% 221,706 221,706 261,112 0 261,112 244,558 678 Hendrum 0 0 0.4846% 59,239 59,239 115,115 0 115,115 109,137 288 Henning 0 0 0.2377% 259,293 259,293 187,069 0 187,069 171,765 792 Henriette 0 0 02098% 10,791 10,791 24,187 0 24,187 22,988 99 Herman 0 0 0 112,087 112,087 248,255 0 248,255 236,607 406 Hermantown 0 0 0.0402% 589.461 331873 3,242,611 0 3.242,611 3.111,801 9,526 Heron Lake 0 0 0.6418% 287.970 287,970 221,548 0 221,548 204,078 744 Hewitt 0 0 0.1789% 60,163 60.163 49,067 0 49,067 45,322 259 Hibbing 0 0 0.1615% 8,883.666 7,994,316 5,917,458 461,069 5,456,389 5,466,098 16,106 Hill City 0 0 0.0485% 54,488 54,488 243,916 0 . 243,916 233,684 447 Hillman 0 0 0.1701% 2,893 2,893 4,450 0 4,450 4,198 22 Hills 0 0 0.2119% 144,453 144,453 102,288 0 102,288 93,828 536 Hilltop 0 0 0.1490% 134,711 116,309 634,679 363,624 271,055 630.933 792 Hinckley 0 0 0.0912% 272.376 217,396 497,703 0 497,703 471,300 1,419 Hitterdal 0 0 0.3865% 40,562 40,562 30,200 0 30,200 27.774 216 Hoffman 0 0 0.2563% 139,624 139,624 101,337 0 101,337 93,075 626 Hokah 0 0 0.1456% 159,775 159,775 292,657 0 292,657 277,369 539 Holdingford 0 0 0.1330% 165,544 165,544 258,663 0 258,663 244,118 779 Holland 0.0700% 0 0.2927% 48,605 48.605 26,592 0 26,592 24,014 194 Hollandale 0 0 0.2590% 40,252 40,252 - 108,149 0 - 108,149 103,061 266 Holloway 0 0 0.2906% 14675 9,065 170,502 0 170,502 167,674 99 Holt 0 0 0.1908% 15,629 15,629 5,000 0 5.000 4.293 92 Hopkins 0 0 0.1394% 50,000 0 9,926,743 1,378,384 8,548,359 9,687,440 17,290 Houston '0 0 0.3659% 340,901 285.736 424,387 0 424,387 398,147 979 Howard Lake 0 0 0.1542% 566,823 476,814 637,519 0 637,519 596,226 2,021 Hoyt Lakes 0 0 0.0274% 462,234 360.759 1.166,425 53,680 1,112.745 1.115,073 1,844 Hugo 0.0031% 0 0.1790% 0 0 5,217,316 556.789 4,660.527 4,932,485 13140 Humboldt 0 0 0.2722% 12,202 12,042 1,743 0 1,743 1,425 44 Hutchinson 0 0 0.1938% 2,412,259 1,784,272 6,183,374 0 6,183,374 5,888,652 14073 Ihien 0.0700% 0 0.2927% 17,494 17,494 15,900 0 15,900 14,755 84 Independence 0 0- 0.1132% 0 0 2,525,829 99676 2,426,153 2,493,436 3,739 International Falls 0 0 0.1522% 4,056,559 3,710,994 2.047,953 0 2,047,953 1,874,941 6.139 Inver Grove Heights 0.0050% 0 0.1658% 0 0 15,689.628 1,892.593 13,797,035 15,077.143 34,461 Iona 0 0 0.3628% 38.503 38.503 37,895 0 37.895 35.276 142 Iron Junction 0 0 0.0930% 12,613 12,613 11,442 844 10,598 10,617 80 Ironton 0 0 0.0722% 120,061 120,061 324,416 24,930 299,486 309,520 535 Isanti •0 0 0.0188% 524,262 313,359 2,166,662 0 -2,166,662 2,074,398 5,569 Isle 0 0 0.0297% 67,711 25,272 548,064 0 548,064 528,489 830. Ivanhoe 0 0 0.3399% 209,259 209,259 231736 0 231,736 216,616 596 Jackson 0 : 0 0.2659% 1,256,982 1,086,755 1,061,370 0 1061370 981,880 - 3,413 Janesville 0 0 0.1983% 836,492 724,872 652,205 0 652,205 601,162 2.213 illJasper 0.0523% 0 0.2927% 185,185 185.185 144,784 0 144,784 133,470 565 Jeffers 0 0 0.2317% 115.913 115.913 81,001 0 81.001 74,249 337 Jenkins 0 0 0.0226% 4,620 0 241,545 6 241,545 223,835 370 • Johnson 0 - 0 0.2940% 7.229 7,229 7.000 0 7,000 6.512 27 Jordan 0 0 0.1494% 219,303 0 3,040,684 543,235 2,497,449 2,920,284 5,402 Kandiyohi 0 0 0.1720% 101,997 101997 108,811 0 108,811 101,583 513 Karlstad 0 0 01962% 239,978 239,978 171,000. 0 171,000.. 156,909 700 Kasota 0 0 01553% 143,296 143,296 73,111 0 73,111 65,691 693 Kasson 0 0 0.0977% 990,589 780,209 L753,474 0 1753,474 1,659,387 5,553 Keewatin 0 0 0.1942% 407,868 343.738 345,133 84.676 260,457 312,569 1.156 Kelliher 0 0 0.0737% 107,307 107,307 41800 0 41,800 36.688 312 Kellogg 0 0 0.2225% 85,764 85,764 210,982 0 210,982 200808 460 Kennedy 0 0 0.2722% 68.874 68,874 77,906 0 77,906 72,873 204 -Kenneth 0 0 0.2953%: 10,840 s 10,840 9,500 0 9,500 8,803 51 Kensington 0 0 0.2563% 57,021 57,021 53,259 0 53,259 49,478 285 Kent 0 0 0.1652% 21,655 21,655 9,000 0 9,000 7,949 107 Kenyon 0 0 0.1588% 558,980 466,643 593,396 0 593.396 553,884 1736 Kerkhoven 0 0 0.1488% 188,175 188,175 240,940 0 240,940 226,235 719 Kerrick 0 0 0.0627% 3,771 3,771 13,833 0 13,833 13229 65 Kettle River 0 0 0.0813% 24,250 24.250 83,113 0 83,113 79,432 172 Kiester 0 0 0.2673% 155,187 155,187 257,891 0 257,891 244,311 478 Kilkenny 0 0 0.1396% 37,504 37,504 39,556 0 39.556 36,914 158 Kimball 0 0 0.0843%` 122,206 122,206 369,990 0 369,990. 353,114 707 Kinbrae 0 0 0.5649% - 545 201 3,955 0 3,955 3,801 15 Kingston 0 0 0.1454% 12,833 12,833 21,136 0 21,136 19,971 147 Kinney 0 0 0.0644% 61,615 61,615 134,350 41,009 93,341 129,618 169 La Crescent 0 0 0.1456% 616.492 422,847 1,924,503 0 1,924,503 1.837,380 5.109 Lafayette 0 0 0.1775% 125,466 125,466 97,250 0 97.250 89,614 485 Lake Benton 0 0 0.4077% 205,268 205,268 211,001 0 211,001 196,728 655 Lake Bronson 0 0 0.1962% 73,763 73,763 57,000 0 57.000 52,517 227 Lake City 0 0 0.1860% 865,097 610,347 2,697,084 0 2,697,084 2.574,949 5,250 Lake Crystal 0 0 0.1445% :746,248 . 621,727 946,372 0 946,372 888,337 2,602 Lake Elmo 0.0031% 0 0.1290% 0 - 0 2,743,346 166,873 2,576,473 2,705,828 8,326 Lake Henry 0 0 01121% 6,149 6.149 18,959 0 18,959 18,098 78 '.. Lake Lillian 0 0 0.1668% 35,415 35,415 83,001 0 83,001, 78,941 221 Lake Park 0 0 0.1343% 237,603 237,603 100,121 0 100.121 88.541 814 Lake Shore 0 0 0.0536% 0 0 801,252 0 801,252 790,818 L030 Lake St.Croix Beach 0.0031% 0 0.1203% 45,945 4,243 497,595 71,827 425.768 478,959 1174 Lake Wilson 0 0 0.3628% 79,202 79,202 67,814 0 67,814 64.123 244 Lakefield 0 0 0.2659% 699,484 614,261 452,327 0 • 452,327 412,835 1,657 Lakeland 0.0031% 0 0.1203% 115,184 33,574 1,000,022 75.972 924,050 961,785 1896 Lakeland Shores 0.0031% 0 0.1203% 0 0 108.937 4,001 104,936 106,573 364 0 Lakeville 0.005096 00074% . 0.1859% 0 0 23,624,427 2,524,151 - 21,100,276 22,892,933 55,772 Lamberton 0 0 0.2317% 295,784 295,784 298,002 0 298,002 277,643 787 Lancaster 0 0 0.4865% 78,502 78,502 57,000 0 57,000 52,354 320 Landfall 0.0031% 0 0.1456% 135,390 79,977 340,254 328,254 12,000 340.254 673 Lanesboro 0 0 0.1166% 211,800 211800 413,748 0 413.748 393,364 716 SEPTEMBER-OCTOBER 2010 MINNESOTA CITIES I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES Total Captured TIE Fiscal Ma Taxable Fiscal Disp Total State 10BZ/B10 Average Average Average Average Average Tax Tax Capacity Contrib Tax Capacity Dlstrlb Tax Capacity Tax Capacity County city School Special Total Capacity Tax Capacity Tax Capacity (cabin&C/I) Tax Rate Tax Rate Tax Rate Tax Rate RTC Rate • Laporte 94,534 0 0 94,534 0 35,768 0 29.60% 56.59% 33.3996 0.80% 120.3896 La Prairie 532,161 0 71,550 460,611 23,351 218,155 0 47,54% 44.84% 17.83% 0.42% 110.63% La Salle 36,101 0 0 36,101 0 14,937 0 56.5696 49.86% 13.07% " 0.84% 120.3296 Lastrup 6&622 -0 0 68,622 0 25,140 0 49.38% 2186%. 15.86% 0.66% 87.76% Lauderdale 2,107,389 181,112 194,709 1,731,568 454,561 607.366 0 50.25% 26.48% 13.07% 7.89% 97.69% Le Center 1,462406 19,920 0 1.442,486 0 321,966 12,604 37.56% 42.02% 20.59% 0.18% 100.35% Le Sueur 2,899.970 96.287 0 2,803,683 0 812.746 0 3773% 5739% 26.77% 0.18% 222.07% Lengby* 26,684 0 0 26,684 0 4.478 0 60.24% 29.98% 20.89% 5.52% 116.64% Leonard 13,665 0 0 13,665 0 3,445 0 49.41% 20.12% 23.00% 5.07% 97.60% Leonidas 24,252 0 2,717 21,535 4,355 9,110 0 4622% 57.69% 0 10896 104,9996 LeRoy* 448,842 0 0 4413,842 0 125,766 0 44.88% 11140%. 15.88% 0.50% 172.6696 Lester Prairie 1,074,638 0 0 1,074,638 0 144,845 0 53.94% 58.63%. 1188% 021%. 124.65% Lewiston 913279. 0 0 913,279 0 218,577 0 4321% 64.9996 14.84% 0.50% 123.54% Lewisville 78,904 0 0 78,904 0 15,080 0 56.27% 65.90% 792% 0.84% 130.93% Lexington 1,596,485 0 145,807 1,450,678 392.160 420,872 0 35.57% 50.67% 37.29% 7.25% 130.78% Lilydale 1,797210 ' 646,820 155,395 994.995 61,855 421,774 0 27.27% 47.30% 18.85% 4.52% 97.94% Lindstrom 4,250,919 121343 0 4,129,576 0 639,537 0 61.27% 38.44% 20.38% 1.34% 12144% Lino Lakes 22,070,825 327,659 1,697,800 20,045,366 2,833,602 4,093,188 0 35.57% 37.91% 30.44% 5.47% 109.3916 Lismore 78,914, 0 0 78,914 - 0 20,342 0 416296. 127.99% 18.6096 ' 178% 189.98% Litchfield 4,174,972 194,655- 0 3,980,317' 0 1,318,189 191.630 44.79%-. 55.62% 20.48% 0.21% 12110% Little Canada 12,449,120 1,114,858 1,869,902 9,464,360 1,626,262 5,204,823 0 50.25%.. 23.39% 13.7896 8.82% 9623% Little Falls 5,514,438 272,636 -0 5,241,802 0 2,282,449 47,032 48.90% . 52.62% 14.43% 1.9096 117.85% Littlefork - 187,188 0 0 187,188 0 27,152 0 36.41% 58.24% 40.70% 0.14% 135.5096 Long Beach 535,351 0 0 535,351 0 108,790 0 37.97% 19.69% 15.2096 3.81% 76.66% Long Lake 3.395,826 208331 596,473 2,591.222 177.646 1,492,140 0 42.64% 37.50% 17.01% 9.65% 106.8096 Long Prairie 1,477,152 127,592 0 1,349,560 0 503,642 11,872 56.93% 4319% 29.79% 0.1096 130.00% Longville 451.942 0 0 451,942 0 248,320 0 30.55% 63.28% 2.38% 0.10% 96.31% Lonsdale -3,292,895. 5,767 0 3,287,078 0 555,017 0 28.38% 45.07% 3115% 0A996 105.10% Loretto 748,049 14,721 106,397` 626,931 87,799 25,9,738 0 - 42.64% 46,78% 26.39% 6.77%• 123.0,3% Louisburg 16,790 0 0 16,790 0 8,359 0 3132% 7147% 17.3296 2.70%. 122.81%. Lowry 145,702 0 0 145,702 0 32,874 0 3&71% 65.55% 13.55% 1.26%- 117.0696 Lucan 56,354 0 0 56,354 0 7,718 1,734 45.48% 141.96% 9.78% 0.33% 197.55% Luverne 2,459,750 65,013 0 2,394,737 0 702,426 6,097 28.43% 47.74% 15.44% 0.32% 91.92% Lyle* 182,209 341 0 181,868 0 19,813 0 42.99% 45.64% 31.14% 0.50% 120.27% Lynd 267,596 0 0 267,596 0 13,683 0 44.92% 47.46% 9.58% 0.35% 102.32% Mabel 298,217 24,084 0 274,133 0 32,450 0 30.26% 116.73% 20.33% 0 167.32% Modena 923,252 6,565 0 916,687 0 204,050 0 56.48% 5527%, 25.7996 0.84% 138.37% Madison 480,928 0 0- 480,928 0 94,834 2,538 26.45% 113.43% 0 2.70% 1425696 Madison Lake 837,764 6,616 0 831,148 0 104,898 36,676 41.60% 49.15% 19.18% 0.19% 11012% Magnolia 76,264 0 0 76,264 0 25,691 0 28.57% 3718% 15.61% 0.32% 8169% 517,057 31,919 0 485,138 0 219,629 0 84.17% 39.08% 16.01% 6.70% 145.95% .Mahnomen Mahtomedi 11,162,042 143,757 423,599 10,594.686 900,657 1126,424 0 27.78% 28.50% 26.39% 5.35% 88.01% Manchester 17,994 0 0 17,994 0 9,133 0 58.32% 56.01% 24.71% 1.38% 140.4216 Manhattan Beach 376,692 40,296 0 336.396 0 206,059 0 28.03% 23.78% 4.43% 0.14% 56.38% Mankato 35,587,318 1,002,347 0 34,584.971 0 17,074,941 42.508 40.69% 38.05% 19.5896 0.19% 98.51% Mantorville - 726,585 0 0 726,585. 0 45,133 0 . 47.03% 57.08% 34.78% 0 138.89% Maple Grove 96,857,952 2,331,742 13,610,796 80,912,347 6,970,398 32,564,527 0 42.64% 33.85% 22.45% 8.3396 107.26% Maple Lake 1,851,652 184,075 0 1,667,577 0 668,151 0 35.82% 4625% 34.02% 0 116.09%. Maple Plain 2,562,782 0 488,723. 2,074,059 294,120 1,231,665 0 42.64% 50.0796 ,2701%. 72236 116.94% Mapleton 841,699 9,645 0 832,044 0 153,192 5,376 40.33% 67.03% 9.00% 0.19% 116.54% Maplevlew* 58,140 0 0 58,140 0 8.481 0 4527% 5160% 20.05% 1.78% 118.70% Maplewood 48,069,755 498,312 7,606,625 39,964,818 5,596,882 20,896,032 0 5025% 35.35% 23.71% 8.74% 118.05% Marble 215,986 0 8,144 207,842 57,771 32,450 0 4024% 77.72% 14.10% 0.42% 13248% Marietta 29,304 0 0 29,304 0 6,895 0 28.77% 56.31% 2.23% 2.70% 90.00% Marine on St Croix 1,671,834 0 37,736 1,634,096 48,337 146,152 • 0 27.78% 35.4896 19.73% 5.52% 8851% Marshall 10,476,416 969691. 0 9,506,725 0 4,812,558 145,495 44.14% 48.99% 28.6996 035% 12237% Mayer 1574993 0 80,282 1490.051 357,341 207,743 0 39.47% 59.72% 40.46% 4.00% -143.65%:. Maynard 146,854 17,947 0 128,907. 0 70,750 0 45.63% 105.51% 9.63%.. 0.83% 16161% Mazeppa 483,252 16,039 0 467,213 0 37,092 0 5216% 50.31% 1520% 0.50% 11816% McGrath 21,153 0 0 21,153 0 1263 0 32.93% 37.82% 11.92% 014% 82.82% McGregor 281,637 19,861 0 261,776 0 186,503 0 30.96% 84.04% 9.74% 0.14% 124.87% McIntosh* 158,173 0 0 158,173 0 36,411 0 61.86% 88.87% 22.24% 5.52% 178.49% McKinley 38,037 0 3,782 34,255 5,463 8.334 0 47.30% 57.31% 0 108% 105.69% Meadowlands 33,930 0 1,366 32,564 13,320 10,227 0 5168% 108.48% 133296 108% 17456% Medford - 1,082,348 36,690 0 1,045,658 0 393.150 0 - 53.64% 41-73% 3287% 0 128.2496 Medicine Lake 983,991 0 6,784 977,207 22,530 34,944 0 4264%. 34.95% 233196 8.83% 109.72% Medina 17,493,243 501,772 1,243,815 15,747,656 247,967 3,039,592 0 4264% 17.24% 20.80% 7.29% 87.97% Moire Grove 80,419 8,187 0 72232 0 12,991 0 48.58% 31.37% 19.58% 121% 100.74% Melrose 2,120,992 65,613 0 2,055379 0 754,442 44,664 48.65% 614096 19.68% 121% 130.94% Menahga 640,158 5,395 0 634,763 0 149,150 0 70.87% 52.36% 18.86% 0.09% 142.19% Mendota 374,457 0 41222 333,235 18,434 114,987 0 27.21% 38.43% 18.78% 4.94%' 89.36% Mendota Heights 22,926,672 44,190 2,745,656 20,136,826 1,080,352 7,352.605 0 27.27% 28.34% 18.85% _ 4.43% 78.89% Mentor* 50,063 0 0- 50,063 0 18,857 0 . 6298% 65.84% 6.15% 5.52% 140.50% Middle River 88,994 0 0 88,994 0 20,218 0 4170% 75.00% 10,53% 7.14% 134.37% Mlesville 1615,230 0 13,283 171,947 20,345 37,866 0 2727% 24.90% 2021% 326% • 75.63% Milaca 1688,024 62,080 0 1,625,944 0 473,643 0 64.3396 5220% 19.39% 0.16% 136.0896 Milan 90,512 0 0 90,512 0 17,008 1,395 42.69% 130.92% 2.41% 083% 176.86% Millerville 65,870 0 0 65,870 0 16.806 0 44.03% 18.98% 5.60% 1.22)6 69.83% Millville 98,091 0 0 98,091 0 18,557 0 52.92% 25.49% 20.77% 0.50% 99.68% Milroy 92,262 0 0 92262 0 25,896 0 44.88% 146.32% 0.73% 0.33% 192.2696 Miltona 273,178 44,450 0 228,728 0 58,544 0 43.89% _ 63.83% 12.04% 122% 120.97% Minneapolis 469,492,521 35,671,594 55,162,878 , 378,658,049 60,483.575 172,104,772 0 4198% 5837% 20.05% 6.84% 12723% Minnesska 96,3930 0 96,393 0 13580 0 4839% 11.44% 16.68% 050% 77.01% Minneota 597,036 25,716 0 571320 0 85,003 0 43.75% 75.47% 17.33% 142% 137.97% innesota City 121,768 0 0 121,768 0 25,959 0 43.21% 2053% 16.68% 0.62% 81.05% Minnesota Lake 350,093 0 0 350,093 0 40,955 0 41.56% 71.77% 6.38% 0.17% 119.88% Minnetonka 102.853,324 1,691,878 13,913,120 87,248,326 4,989,253 35,600,546 0 42.64% 30.71% 22.07% 9.67% 105.09% Minnetonka Beach 3568,303 0 43,794 3,524,509 15,703 137,701 0 42.64% 21_59% 17.01% 9.65% 90.89% *Data for cities in Polk and Mower counties is preliminary. 1 8 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 I 2010 MV TAX RATES 1 I 2010 AID AND LEVY DATA I Average Average City Average School Certified Actual Certified Fiscal City YIeld on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy lisp Levy Net Levy Atter MVHC Population Tax Rate Relmb Cut iipLaporte 0 0 0.0397% 10,915 10,915 53,494 0 53,494 51,286 139 La Prairie 0 0 0.0919% 69,495 69,495 215,441 8,915 206,526 206,339 723 La Salle 0 0 0.1383% 16,977 16,977 18,000 0 18,000 16.801 86 Lastrup 0 0 0.1776% 2,491 2491 15,000 0 15,000 14,400 86 Lauderdale 0 0 0.2037% 615,282 516,153 571,738 113.154 458,584 541,972 2,310 Le Center 0 0 0.1509% 803,422 708,459 609.635 0 609,635 561,186 2,389 Le Sueur 0 0.0480% 0.0902% 973,778 767.922 1.608.978 0 1,608.978 1516,356 4,332 Lengby* 0 0 0.2201% 22.626 22,626 8,000 0 8.000 6,950 66 Leonard 0 0 0.1323% 4.080 4.080 2,750 0 2750 2.516 24 Leonidas 0 0 0.0930% 35,240 35.240 15,000 2,577 12,423 13,404 49 LeRoy* 0 - 0 0.4188% 305,789 305,789 500,000 0 500,000 474,996 887 Lester Prairie 0 0 0.2387% 484,183 404,098 630,028 0 630,028 591,825 1,761 Lewiston 0 0 0.211636 461,454 383,755 593,540 0 593,540 557,368 1,481 Lewisville 0 0 0.4267% 69.240 69.240 52,000 0 52,000 47,843 227 Lexington 0 0 0.1576% 412,778 295,659 924,804 189,687 735,117 891,090 2,017 Lllydale 0.0050% 0 0.1019% 4,324 0 497,998 27,396 470,602 477,759 783 Lindstrom 0 0 0.1037% 167,623 32.418 1,587,466 0 1,587,466 1527.289 4.021 Lino Lakes 0 0 0.1570% 0 0 8,695,735 1,097,539 7,598,196 8,442,330 20,305 Lismore 0 0 0.3397% 67,728 67.728 101,001 0 101,001 95,216 225 Litchfield 0 0 01454% 1,397,653 1,588,853 2,239,928 0 2,239,928 2,098,071 6,813 Little Canada 0 0 0.2027% 426,079 195,843 2,559,751 346,036 2,213,715 2,458074 10036 Little Falls 0 0.0138% 0.2196% 2,486,032 2089,080 2,771,987 0 2,771,987 2,589,648 8,411 LKtlefork 0 0 0.0607% 221.704 221,704 109,018 0 109,018 97,988 678 Long Beach 0 0 0.1504% 0 0 105,405 0 105,405 100,292 303 Long Lake 0 0 0.1163% 133.465 26.410 1,035,428 63,668 971.760 1,013.213 1,745 Long Prairie 0 0 0.1653% 837,969 735.532 585,234 0 585,234 536,438 2,946 Longville 0 0 0.0668% 0 0 286,002 0 286,002 279,091 171 Lonsdale 0 0 0.1295% 389,752 245,346 1,481,500 0 1,481,500 1,417,240 2,879 Loretto 0 0 0.1105% 8.133 0 332,080 38,814 293,266 317.661 609 Louisburg 0 0 0296896 7,954 7,954 12,000 0 12,000 11316 44 Lowry 0 0 0.1504% 51,888 51,888 -95,500 0 95,500 90,447 276 Lucan 0 0 0.2635% 51,392 51.392 80,000 0 80.000 75,495 199 Luverne 0 0 0.2953% 1,371,690 1,194,175 1,144,166 0 1,144,166 1,057,910 4,573 Lyle* 0 0 0.1694% 168,784 168,784 82,076 0 82,076 73.443 557 Lynd 0 0 0.3753% 58,490 58,490 127,001 0 127,001 120,641 393 Mabel 0 0 0.3519% 0.1722% 230,297 230,297 320,001 0 320.001 301,133 714 Madelia 0 0 969,320 860,375 506,625 0 506,625 456.020 2201-'. Madison 0 0 0.2906% 825,552 729,097 545,502 0 545,502 499,078 1,641 Madison Lake 0 0 0.1474% 0.2953% 126,004 126.004 411,223 0 411,223 392,673 939 Magnolia _ 0 0 44,420 44,420 28,356 0 28,356 25.861 204 Mahnomen 0 0 0.0571% 504,826 446.371 189.602 0 189,602 168.281 1.153 Mahtomedi 0.0031% 0 0.1703% 0 0 3,262,287 242,988 3,019,299 3.184,871 8,143 Manchester 0 0 0.2590% 14.717 14.717 10,078 0 10,078 9.228 71 Manhattan Beach 0 0 - 0.0351% 0 0 79,998 0 79,998 78,029 69 Mankato 0 0 0.1474% 7.858.290 6.228,727 13.165067 0 13,165,067 12,524,782 37,032 Mantorvllle 0 0 0.0977% 259,444 209,003 414,742 0 - 414,742 391,626 1,180 Maple Grove 0 0 0.2082% 0 0 29,563,661 2,178,877 27,384,784 28,699,354 62,660 Maple Lake 0 0 0.1762%- 499,774 402,771 771,271 0 771,271 727,691 2016 Maple Plain 0 0 01163% 366,449 240,047 1,184,097 145,636 1,038,461 1,149,482- ``1,932 Mapleton 0 0 0.2402% 560,478 481,246 559.276 0 559,276 520,883 -1,658 Mapleview* 0 0 0.1803% 51,837 51.837 30,000 0 30.000 27.194 166 Maplewood 0 0.0193% 0.1543% 0 0 15,952,347 1,823.017 14,129,330 15,388.032 37.755 - Marble 0 0 0.1113% 228,484 228,484 197.021 35,484 161,537 182,335 699 Marietta 0 0 0.2906% 52,187 52,187 16,500 0 16,500 14,145 159 Marine on St.Croix 0.0031% 0 0.1203% 0 '0 596,381 16,631 - 579,750 588,278 693 Marshall 0 0 0.1612% 2,647,813 2,110,608 4,667,528' 0 4,667,528 4,416,736 13,156 Mayer 0 0 0.0768% 328,209 220,680 1,103,384 213,531 `>889,853 1,060,518 1,952 Maynard 0 0 0.4869% 123,717 -123,717 136,005 0 136,005 127,100 353 Mazeppa 0 0.0963% 0.2309% 164,503 164,503 235,055 0 235,055 219,843 772 McGrath 0 0 0.0323% 6.687 6,687 8,000 0 8,000 -7,496 75 McGregor 0 0 0.0323% 92.418 92,418 219.999 0 219.999 209,287 380 McIntosh* 0 0 0.1829% 205,166 205,166 140,566 0 140,566 128,712 575 McKinley 0 0 0.0930% 51,992 51,992 20,000 368 19,632 17,620 85 Meadowlands 0 0 0.0400% 21,550 21,550 50,298 14,972 35,326 47,835 124 Medford 0 0 0.039756 209,118 161,120 436,332 0 436,332 -414,201 1,170 Medicine Lake 0 0 0.1640%.. 0 ':0 349,108. 7,623 341,485 348,572 382 Medina - 0 0 0.139916 0 0 - 2,756,305 41,252 2,715,053 2,738,300 5,026 Meire Grove 0 - 0 0.1694% 12,141 12,141 22,660 0 22,660 21,467 145 Melrose 0 0 0.1694% 769,209 614,850 1,265,480 0 1,265,480 1,195,717 3.401 Menahga 0 0 0.0469% 331.140 281,960 332,368 0 332,368 309,618 1,212 Mendota 0.0050% 0 0.1019% 25.000 13.184 134,560 6,501 128,059 130,523 196 Mendota Heights 0.0050% 0.0139% 0.1019% 0 0 5,990,453 282,678 5,707.775 5,878,502 11,766 Mentor* 0 0 01829% 33,725 33,725 32,964 0 32,964 30,678- 123 Middle River 0 0 0.1545% 81,540 81,540 66,745 0 66,745 61561 316 Miesville 0.0050% 0 0.25909.S 1010 0 47524 4,703 42,821 44,367 171 Mace 0 0 0.040096 670,150 562714 848,690 0 848,690 796,610 )2,835 Milan 0 . 0 0.2906% 90,141 90.141 118,500 0 118.500 111,346 280 Millerville 0 0 0.1739% 7,791 7,791 12,500 0 12,500 11,804 115 Millville 0 0 0.0892% 18,803 18,803 25,000 0 25,000 23,498 161 Milroy 0 0 0.3332% 58,705 58.705 135.000 0 135.000 128,358 242 Milton 0 0 0.0828% 30,433 30,433 145,991 0 145,991 139.942 351 Minneapolis 0 0.0253% 0.1610% 90,012,451 64,142,268 255,520,405 34,505,274 221,015,131 249,125,820 386,691 Minnesska 0 0 0.3004% - 6,270 6,270 11031 0 11,031- 10,438 99 110 Minneota 0 0 0.0462% 479,918 412,603 431,178 0 431,178 399,939 1„386 Minnesota City 0 0 0.3004% 40,280 40,280 25,000 0 25000 22,762 214 Minnesota Lake 0 0 0.2402% 131,470 131,470 251,259 0 251.259 238.136 634 Minnetonka 0 0.0143% 0.1593% 0 0 28,234,859 1,441,205 26,793,654 27,710,323 51.451 Minnetonka Beach 0 0 0.1163% 3,680 0 764,089 3.218 760,871 763,635 614 S E P T E M B E R-O C T O B E R 2010 M I N N E S O T A CITIES 1 9 I 2010 TAX BASE DATA I I , 2010 NET TAX CAPACITY RATES I Total Captured T1F Fiscal Dieu Taxable Fiscal Dap Total State 10B2/B10 Average Average Average Average Average Tax Tax Capacity Contrlb Tax Capacity Datdb Tax Capacity Tax Capacity County City School Special Total 41111 Capacity Tax Capacity Tax Capacity {cabin&C/q Tax Rate Tax Rate Tax Rate Tax Rate NTC Rate Minnetrista 16,551,526 0 88,1.38 -. 16,463,388 372,497 596,637 A 42.64% 27.07% 15.60% 8.13% 93.43%. Mlzpah 13,978 0 0 13,978 0 2,220 0 34.78%. 17.89% 39.12% 3.30% 95.09% Montevideo 2,624,838 22,151 0 2,602,687 0 949.251 0 45.81% 63.16% 26.3916 1.48% 136.84% Montgomery 2,331,149 28,082 0 2,303,067 0 467,982 0 36.95% 61.30% 30.25%. 0.18% 1.28.69% Monticello 17,796,301 1,105,041 0 16,691,260 0 7,183,624 0 3513296 45.82% 24.95% 1.75% 108.34% Montrose 2,090,440 104,535 0 1,985,905 0 275,467 0 35.77% 42.68% 27.99% 0 106.44% Moorhead 22,873A70 806,863 0 22,066,207 0 6,254,513 149,292 5461% 33.75% 3026% 2.88% 121.6996 Moose Lake 955,776 43,608 0 912,168 0 359,333 0 65.62% 43.85% 4.80% 924% 123.5296 Mora 2,295,248 167.017 0 2,128,231 0 743,312 0 74.51% 27.34% 16.00% 0.16% 118.0096 Morgan 295,620. - 3,120 0 292500 0 - 66,318 0 - 4222% 11196% 5.67% 633% 160.13% Morris 2,461,819 89,903 0 2,371,916 0 701,672- 68,726 4121% :49.05% 41.13% 3.00% 134.39% Morristown 517,221 0 0 517,221 0 57,701 0 29.53% 53.79% 6.39% 1.19%. 90.91% Morton 139,377 0 0 139,377 0 41,562 0 42.37% 118.31% 9.0296 133% 171.03% Motley 472,849 0 0 472,849 0 249,206 3,534 48.47% 67.60% 9.68% 0.64% 126.39% Mound 14,166,216 549,076 323,814 13,293,326 999,789 938,589 0 42.64% 37.29% 9.77% 1136% 101.06% Mounds View 12,898,111 3,079,864 2,241,846 7,576,401 2,434,205 5,574,452 0 50.25% 40.97% 24.56% 9.51% 125.29% Mountain Iron 2,236,300 65,603 147,892 • 2,022,805 114,881 901236 0 57.42% 58.45% 9.92% 0.86% 126.65% Mountain Lake 616,887 12,558 0 604329 0 116,005 15,808 36.37% 89.36% 3.21% 0.32% 12926% Murdock 172,089 1,429 0 170,660 0 101,313 0 44.79% 44.13% 15.78% 0.87% 105.5796 Myrtle 23,934 0 0 23,934 0 13,069 0 - 5832% 3760% 5.67% 0 10159%. Nashua 72,984 0 0 72,984 0 14,592 0 5027% 12.74% 3.13% 5.67% 71.82% Nashwauk 512,421 1,351 52,071 458,999 43,837 15,1,707 11,536 42.87% 74.80% 6.14% 0.42%. 12424% Nassau 26,634 0 0 26,634 0 14,064 0 31.32% 54.60% 4.91% 2.70% 93.53% Nelson 103,094 0 0 103.094 0 25.429 0 44.03% 34.92% 122096 1.9096 93.05% Nerstrand 232,983 0 0 232,983 0 41,474 0 29.66% 15.45% 20.79% 1.19% 67.09% Nevis 300.957 0 0 300,957 0 94,998 0 29.60% 68.20% 7.58% 0.80% 106.18% New Auburn 183,612 0 0 183,612 0 15,873 0 54.23% 103.57% 5.97% 2.34% 1661296 New Brighton 23,983,506. 4,103,937 2,673,003 17,206,566 3,755,970 7,290,209' 0 50.25% 35.61% 25.18%- 7.9516 118.99%. New Germany 351518` 0 17,696 333,822 65,132 50,083 0 39.51% 5164% 26.94% 4.00% 122.0996 New Hope 20,012,449 .1181,390 2,596,465 16,234,594 3,946,315 6,751,134 0 42.6496 45.97% 28.62%. 8.46% 125.70%. New London 809,290 34,545 0 -774,745 0 221996 0 5415% 48.94% 19.3696 3.17% 125.62%. New Munich 191.637 0 0 191,637 0 31,613 0 48.66% 46.96% 19.68% 121% 116.51% New Prague 6,415,266 238,950 0 6.176,316 0 1,374,828 0 35.42% 58.69% 3104% 2.02% 127.18% New Richland 481,209 14,902 0 . 466,307 0 68,960 0 52.48% 6026% 7.29% 01896 120.21% New Trier 72,337 0 2,581 69,756 23.486 7,056 0 2727% 44.34% 20.21% 3.26% 95.07% New Ulm 8,950,158 262,860 0 8,687,298 0 2,729,977 90,885 47.16% 60.62% 16.92% 128% 125.9896 New York Mills 689,932 144,966 0 544,966 0 271,185 11,151 32.82% 66.57% 2135% 0.56% 12130% Newfolden 112,069 0 0 112,069 0 19,853 0 41.33% 45.95% 491% 7.14% 9934% Newport 4,139,933 350,453 592,742 3,196,738 584,553 1,683,384 0 27.78% 53.64% - 31.65% 4.50% 117.57% Nicoliet 681,582 43,731 0 . 637,851. 0 106,284 0 52.29% 3360% 19.45% 0.54% 105.87% Nielsville* 12.079 0 0 12,079 0 1,082 0 60.57% 225.03% 6.01% 7.72% 299.33% galNimrod 42,978 0 0 42978 0 6,715 0 72.29% 43.05% 6.66% 0.0996 122.0916 Nisswa 7,934,295 213,877 0 7,720,418 0 4,009,007 0 28.03% 2125% 20.65% 0.31% 7024% Norcross 29,816 0 0 29,816 0 7,008 0 47.56% 85.30% 1.00% 6.07% 139.94% North Branch 9,167,401 593.695 0 8,571176 0 2,755.832 128,448 59.31% 42.92% 34.81% 4.72% 141.77% North Mankato 10,740,326 189,067 0 10,551,259 0 2,659,815 0 51.52% 45.63% , 19.60% 0.54% 11729% North Oaks 13,429,394 0 280,888 13,148,506 264,763 815,800 0 5025% 8.48% 23.77%. 6.44% 88.94% North St.Paul 9,669,956 332,850 759,763 8,577,343 2,242,221 2,044,283 . 0 50.25% 27.60% 25.36% 1107% 114.28% Northfield 16,004,791 904,278 0 15,100,513 0 4,483,320 169,486 28.12% 40.33% 30.98% 3.69% 1031296 Northome 59,001 0 0 59,001 0 16,745 0 29.09% 81.74% 34.54% 740% 152.76% Northrop 58.006 0 0 58,006 0 8,959 0 38.33% 85.68% 27.15% 0.48% 15164% Norwood Young America 2991.295 63,722 301,677 2,625,896 733,934 840,087 0 39.51% 52.47% 16.71% 5.38% 114.07% Nowthen 5,055,352 0 146,102 4,909,250 561,750 450,058 0 35.57% 19.35% 29.69% 4.32% 88.92% Oak Grove 8,558195 10,782 234,645 8,312,768 1,161,050 599.743 0 35.57% 33.01% 24.78% 4.32% 97.68% Oak Park Heights 10,572,874 0 2,492111 8,080,763 546,593 4,360,617 0 27.78% 43.85% 19.73% 4.80% 9616%. Oakdale 29,947,473. 552,979 3,823,795 25,570,699 4,427.639 9,950,331 0 27,78% 32.98% 25.29% 5.50% - 91.5596 Odessa 33,602 0 _0 33,602 0 8,023 0 43.60%- 6101% - 27.57% 318% /35.3596 Odin 39,044. 0 0 39,044 0 -8,121 0 56,07% 49.40% 9.74% 0.84% 116.04% Ogema 55.824 0 0 55,824 0 17,375 0 37.36% 5016% 20.35% 6.95% 114.81% Ogilvie 212.751 3.225 0 209,526 0 78.347 0 72.85% 27.20% 39.84% 0.16% 140.04% Okabena 50.942 0 0 50,942 0 8,422 0 37.14% 18922% 1.86% 2.33% 230.55% Oklee 107,213 0 0 107,213 0 31,640 0 49.75% 134.73% 3.00% 5.35% 192.82% Olivia 1,271,549 37,509 0 1,234,040 0 438,485 0 42.86% 75.57% 10.04% 2.94% 13140% Onamia 455,050 31,747 0 423,303 0 229,413 0 63.92% 47.86% 12.04% 0.16% 123.9896 Ormsby 52,846 0 0 52846 0 13,199 0 48.34% 46.79% 13.07% 0.67% 108.86% Orono 34,475,025 61,563 568,721 33,844,741 286,746 1,816,546 0 42.64% 13.68% 15.00% 9.65% 80.97% Oronoco 1,380,193 0 0 1380,193 0 100,866 0 55.63% 38.04% 21.42% 0 115.08% Orr 165,911 32,967 14,100 118,844 10,297 65,441 0 54.30% 72.99% 14.86% 9.19% 1513396 Ortonville 844,581 0 0 844,581 0 193,508 0 42.29% 71.49% 27.05% 3.18% 144.01% Osakis 1,130,571 93,517 0 1,037,054 0 291,075 0 46.50% 45.89% 37.20% 163% 13122% Oslo 119,404 0 0 119,404 0 41,247 1,439 39.26% 121.78% 1.34% 7.14% 169.52% Osseo 3,148,590 666,401 546,865 1,935,324 397.895 1,433,496 0 42.64% 50.82% 22.38% 819% 124.03% Ostrander -101,318 0 0 101,318 0 19,479 0 34.02% 100.77% 16.91% 0 151.69% Otsego 13,012184 0 0 13,012,184 0 2460,571 0 35.82% 29.34% 39.43% 1.75% 106.34% Ottertail 1,515,358 0 , 0 1,515.358 0 781,708 0 34.46% 20.65% 13.74% 056% 67.41% Owatonna 20.750,538 477,184 0 20,473,354 0 6,471,070 32,470 5233% 46.10% 16.65% 0.59% 115.66% Palisade 82,172 0 2,338 79,834 7 451 12,251 0 32.90% 54.54% 2.69% 0.14% 90.27% Park Rapids 3,862,662 347,951 0 3,514,711 0 2,160,829 0 29.04% 56.42% 15.27% 0.80% 101.54% Parkers Prairie 604.216 19,156 0 585,060 0 140,960 8,796 34.31% 74.64% 14.17% 0.56% 123.68% Paynesville 1,689.748 41,123 0 1,648,625 0 551,755 2,476 48.54% 30.89% 16.08% 3.59% 99.11% Pease 122,398 0 0 122,398 0 25,655 0 64.33% 32.71% 19.39% 016% 116.5816 Pelican Rapids 1,070,518 76,803 0 993,715 0 468,472 135,653 33.79% 7913% 4.80% 120% 118.92% Pemberton 136,062 0 0 136,062 0 23,578 0 41.69% 101.15% 15.62% 0.19% 158.64% IIIPennock 194,412 0 0 194,412 0 21,948 0 54.04% 62.49% 19.6096 150% 137.63% Pequot Lakes 3,072,788 66,333 0 3,006,455 0 1.412,161 0 28.03% 48.10% 8.59% 113% 85.84% Perham 2,515,580 474,048 0 2,041,532 0 1,270,416 176,391 33.79% 50.09% 11.65% 4.51% 100.05% Perley 35,890 0 0 35,890 0 7,746 0 40.26% 59.91% 8.44% 5.02% 113.63% Peterson 114,069 0 0 114,069 0 13,623 0 34.26% 59.73% 10.80% 0 104-79% *Data for cities in Polk and Mower counties is preliminary. 2 0 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 I 2010 MV TAX RATES I I 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LOA City LGA City Levy Disp Levy Net Levy After MVHC Population Tax Rate Relmb Cut Minnetrista Ir 0 0 0.1096% 0 0 4,558,451 102,306 4,456,145 4,528,711 6,296 Mizpah 0 0 0.0786% 6,246 6,246 2,500 0 2,500 2,200 63 Montevideo 0 0 0,1313% 1940,755 1,674,841 1,643,878 0 1643,878 1,520,976 5,416 Montgomery 0 0 0.0989% 793,324 628,916 1,411,849 0 1411,849 1336,240 3,272 Monticello 0 0 0.2083% 0 0 7,648,269 0 7,648,2697.369.340 11501 Montrose 0 0 0.1350% 0.0217% 553,963 448,893 847,605 0 847,605 799,550 2,556 Moorhead 0 0 t,918,290. 6,790,628 7,446,245 0 7.446,245 6,919,441 36,962 Moose Lake 0 0 00813% 0.0581% 624.271 543,526 400,004 0 400.004 372,114 2,448 Mora 0.0186% 0 814,558 710,562 581,773 0 581,773 534,293 3,635 Morgan 0 0 0.1673% 300,607 300,607 327,495 0 327,495 305,959 839 Morris 0 0.0288% 0.1653% 2.389.503 2,110,244 1176.232 0 1,176,232 1071,256 5,183 Morristown 0 0 02501% 272,120 230,442 278,229 0 278,229 259,359 1,027 Morton 0 0 0.1261% 132,310 132,310 164,890 0 164,890 154,700 407 Motley 0 0 0.1277% 133,171 133,171 319,642 0 319,642 304,116 668 Mound 0 0 0.1106% 0 0 5,302,399 345.717 4,956,682 5,135,399 9,787 Mounds View 0 0.0211% 0.1888% 571.636 232,078 3,891,393 787,490 3,103,903 3,731,237 12,733 Mountain Iron 0 0.0498% 0.0660% 1,311,148 1,156,268 1,237,864 55,474 1,182,390 1,159,212 2.825 Mountain Lake 0 0 0.4831% 914,665 807,450 540,010 0 540,010 490,135 1,990 Murdock • 0 0 0.1488% 72,441 72,441 75,309. 0 75,309 70,254 281 Myrtle 0 - 0 0.2129% 11,886 11,886 9,000 0 9,000 8,284 53 Nashua 0 0 L1366% 337 0 9,300 0 9,300 8,745 44 Nashwauk 0 0 0.1941% 412,900 412,900 371,668 27,532 344,136 345,292 983 Nassau 0 0 02906% 18,206 18,206 14,542 0 14,542 13,419 68 Nelson 0 0 0.0828% 24,782 24,782 36,000 0 36.000 33,916 158 Nerstrand 0 0 0.1066% 19,328 19,328 36,000 0 36,000 34,103 253 Nevis 0 0 0.0566% 45,207 45,207 205,265 0 205,265 196,677 382 New Auburn 0 0 0.1658% 108,809 108,809 190,176 0 190,176 179,925 493 New Brighton 0 0 0189696 65,619 0 7,399,958 1,273.199 6,126,759 7,125,076 22,321 New Germany 0 0 0.1282% 12,694 12,694 207,921 35,530 172,391 200,357 370 New Hope 0 0 0.2288% 771,554 41,843 9,093,207 1,629,490 7,463,717 8,757,955 20,718 New London 0 0 01277% 326,101 274,860 379,188 0 379,188 355,006 1,190 New Munich 0 0 0.1694% 71,671 71,671 90,000 0 90,000 84,457 376 New Prague 0 0.0102% 01915% 843,952 515,478 3,625,002 0 3.625,002 3,469,793 7.081 New Richland 0 0 0.1218% 374.334 325,599 281,001 0 281,001 258,531 1,142 New Trier 0.0050% 0 0.2590% 863 863 39,607 8,674 30,933 38,219 124 New Ulm 0 0 0.1775% 4,858,002 4,111,762 5,266,153 0 5,266,153 4.919,026 13,396 New York Mills 0 0 0.0751% 398,537 342.150 366,005 0 366,005 339,791 1.174 Newfolden 0 - 0 01908% 79,371 79,371 51,500 0 51,500 47,013 353 Newport 0.0031% 0 0.2078% 797,884 588,876 1,972,300 257,472 1,714,828 1891.,957 -. 3,534 Nicollet 0 0 - 0.1386% 203,822 175,536 214,327 0 214,327 199,990 1,012 Nielsville* 0 0 0.5931% 22,762 22,762 27,178 0 27,178 - 25,466 82 111 Nimrod 0 0 0.1951% 2.627 2,627 18,500 0 18,500 17,776 63 Nisswa 0 0 0.0567% 12,288 0 1,640,822 0 1,6,10,822 1,615,517 2,061 Norcross 0 0 0 17,067 17,067 25,434 0 25,434 23,977 56 North Branch 0 0.0195% 0.0212% 469,635 146,132 3.693,693 0 3,693,693 3,5,15,906 10,354 North Mankato 0 0 0.1474% 1,854,816 1,358,107 4,814,151 0 4,814,151 4,585,492 13,045 North Oaks 0 0 0.1893% 0 0 1,135,935 20914 1,115,021 1,134.602 4,720 North St.Paul 0 0.0556% 0.1458% 2,287,444 1,863,726 2,863,670 496,092 2,367,578 2,706,891 11,569 ' Northfield 0.0004% 0.0151% 0.2618% 2,968,487 2,243,396 6,099,256 0 6,099,256 5,816,439 19,786 Northome 0 0 0.0786% 68,324 68,324 48,225 0 48.225 44,229 227 Northrop 0 0 0.1338% 45,444 45,444 49,700 0 49,700 46,438 233 Norwood Young America 0 0.0070% 0.1055% 249165 108,482 1,718.600 340,707 1,377,893 1650,518 3,637 Nowthen 0 0 0.1743% 0 0 • 1,053,780 104,036 949,744 1,011,747 4,418 Oak Grove 0 0 0.1134% 200.000 - 0 3,106,390 362,096 2,744,294 2,980,341 8,579. Oak Park Heights 0.0031% 0 0.1203% 0 0 3,754,704 211,706 3,542,998 3,662,455 4,653 Oakdale 0.0031% 0 0,1458% 0 0 9,787,597' 1,354,548 8,433,049 9,2/8,504 27,344 Odessa 0 0 0.2968% 38,933 38,933 20,500 0 20,500 18,462 95 Odin 0 0 03796%. 25,809 25,809 19,287 0 19,287 17,741 103 Ogema 0 0 0.0456% 27,864 27,864 27,993 0 27,993 26,078 125 Ogilvie 0.0186% 0 0.0416% 128,300 127,898 56,981 0 56,981 51,030 461 Okabena 0 0 0.6418% 51.284 51,284 96,390 0 96,390 91,518 175 Oklee 0 0 02682% 111,176 111,176 144,449 0 144,449 135.684 385 Olivia 0 0 0.1668% 821424 696,152 932,502 0 932,502 872,365 2.528 Onartlla 0 0 0.1701% 239,116 239,116 202,598 0 _ 202,598 187,453 870 Ormsby 0 0 01181% 25,253 25,253 24,729 0 24,729 23,015 138 Orono 0 0 0.1169%. 0 0 `4,666,747 37,802 4,628,945 4,648,626 7,980 Oronoco 0 0 0.1237% 64,243 23,998 524,998 0 524,998 505,176 1,147 Orr 0 0 0.0400% 42,063 42,063 94,093 7,354 86,739 89,425 231 Ortonville 0 0 0.2968% 806,896 703,420 603,757 0 603,757 555,390 1,900 Osakis 0 0 0,0378% 450,784 380,867 475,855 0 475,855 444,084 1598 Oslo 0 0 03857% 78,157 78,157 145,409 0 145,409 137.744 315 Osseo 0 0 0.2112% 790,164 634,438 1,186,269 202,725 983.544 1,137,885 2,499 Ostrander 0 0 0.4165% 54,764 54,764 102,094 0 102,094 96,716 242 Otsego 0 0 01769% 0 0 3,818,034 0 3,818.034 3.580,340 13,562 Ottertail 0 0 0.0593% 0 0 312,876 0 312,876 301,621. 473 Owatonna 0 0 0.1769% 4,200,573 3,153,124 9,441,078 0 9,441,078 8,973,357 25,433 Palisade 0 0 0.0406% 15,029 15,029 47,453 3,912 43,541 45311 148 Park Rapids 0 0 0.1112% 486.667 314,126 1983,132 0 1,983,132 1,898,450 3,493 Parkers Prairie 0 0 0.3095% 279,654 225,671 436,701 0 436.701 412,139 1,007 Paynesville 0 0 0.1121% 779.241 679,593 509.328 0 509,328 465,147 2,313 Pease 0 0 0.0400% 15.421 15,421 40,030 0 40,030 38,129 207 Pelican Rapids 0 0 0.0310% 1,036,509 908,614 802,233 0 802,233 739,188 2,374 Pemberton 0 0 0,1983% 25,203 25,203 137,626. 0 137,626 132.038 261 ailPennock 0 0 0172096 113,607 113,607 121,489 0 121489 113,429 482 Pequot Lakes 0 0 0.0226% 81,517 0 1446,001 0 1,446,001 1,375,017 2,008 Perham 0 0.0292% 0.0449% 583,292 459,137 1052,030 0 1052,030 993,971 2,767 Perley 0 0 0.4846% 22,100 22,100 21,500 0 21,500 20,005 105 Peterson 0 0 0,2173% 47.355 47,355 68,135 0 68.135 64,175 237 • SEPTEMBER-OCTOBER 2010 M INNES OTA CITIES 2I • 1 2010 TAX BASE DATA i i 2O10 NET TAX CAPACITY RATES I Total Captured TlF Fiscal Dlsp Taxable Fiscal Dip Total State JOBZ/BIO Average Average Average Average Average Tax Tax Capacity Contrib Tax Capacity Ditrb Tax Capacity Tax Capacity County City School Special Total Capacity Tax Capacity Tax Capacity (cabin&C/I) Tax Rate Tax Rate Tax Rate Tax Rate NTC Rate • Plerz 814,390 92,819 0 721,571 0 246,795 0 . 4938% 38.88% 15,86% 0.66% 104.78% Pillager 316,715 464 0 316,251 0 110,976 0 27.57% 67.15% 10.64% 0.10% .105.46% Pine City 2,896,851 136,871 0 2,753980 0 1,295,025 35,135 45.01% 39.42% 15.61% 0.16% 1001996 Pine Island 2,639,178 109,430 0 2,529,748. 0 497.627 0 450296 65.7996 22.40% 0.54% 133.75% Pine River 546,701 37,067 0 509,634 0 243,552 11,408 27.21% 73.36% 4.42% 0.10% 105.09% Pine Springs 585,725 0 3,009 582,716 36,594 12,029 0 27.78% 6.15% 26.36% 5.11% 65.39% Plpestone 1,726,901 84,869 0 1,642,032 0 586.996 204.851 34.54% 85.19% 18.11% 0.34% 138.19% Plainview 2,111483 113,299 0 1,998,184 0 513.955 0 5186% 74.87% 20.63% 0.50% 147.86% Plato 255.618 0 0 255,618 0 64,832 0 52.63% 60.38% 4.03% 0.89% 117.93% " Plummer - 88,087 0 0 88,087 0 34,417 0 48.58% 138.39% 3.78% 5.35% f 196.09% Plymouth 117,131,563 1,073,002 16078,651 99,979,910 8,185,794 - 38,541,230 - 0 42.64% 25.50% 2426% 9.33% 1 101.72% I Porter 83,318 0 0 83,318 0 27,433 0 53.77% 48.51% 13.75% 1.67% 117.7096 Preston 798,593 22,827 0 775,766 0 248,366 0 30.83% 83.98% 14.43% 0 12924% Princeton 3,457,981 117,819 0 3,340,162 0 1,410,309 12,028 58.18% 65.37% 19.45% 0.63% 143.6396 Prinsburg 289,967 0 0 289,967 0 72,515 0 54.04% 77.57% 9.77% 1.50% 142.88% Prior Lake 29,705,627 600,610 1,127,895 27,977,122 2,710,163 3,135,924 0 3323% 29.44% 32.59% 6.11% 101.37% Proctor 2,228,871 0 0 2,228,871 0 534,854 0 56.53% 42.46% 21.41% 1.08% 12147% Quamba 52,067 0 0 52,067 0 1,991 0 74.51% 52.82% 16.00% 016% 143.48% Racine* 301,672 19,382 0 282,290 0 65,946 0 47.50% 54.92%. 25.85% 0.50% 128.77% Ramsey 25,384,228 3,799,536 2,797,825 18,786,867. 3,665,440 6,62,3,282 0 35.57% 38.04% 22.47% 6.24% 10232% Randall 308,320 - - 86,957 0 221,363 0 82,928 0 47.89% . 56.47% 13.30% 0.66% 118 9396 Randolph 351,698 : 0.. 13,004 338,694 69,365 40.501 0 27.27% 17.7796 18.55% 3.2696 66.84% Ranier 109,279 0 0 109,279 0 28,454 0 34.78% . 2823% 18.34% 014% 81.49% Raymond 334,576 0 0 334,576 0 50,277 0 53.46% 52.33% 10.82% 150% 118.11% Red Lake Falls 420,451 9,020 0 411,431 0 82,968 77 49.74% 120.92% 353296 5.35% 2113396 Red Wing 23,250,879 268,738 0 22,982,141 0 6.413,590 136,046 42.33% 55.09% 19.53% 2.40% 119.35% Redwood Falls 2,633,004 30,390 0 2,602,614 0 699,028 36,762 46.42% 79.84% 3231% 0.33% 158.90% Regal 25,747 0 0 25,747 0 5,887 0 5426% 2719% 16.35% 457% 102.37% Remer 200,905 0 0 200,905 0 - 84,547 0 27.63% 92.08% 232% 105% - 123.0896 Renville 518532 9,635 "0 508,897 0 141,313 - 0 42.02% 134.41% 0.82% 133% 178.5896 Revere 28,755 0 0 28,755 0 9,045. 0 44.66% 95.64% 128% 0.33% 141.9036 Rice 1,294,174 36,718 0 1,257,456 0 403,248 0 65.04% 28.70% 3827% 0 132.01% Richfield 36,374,093 4,757,542 4,729,616 26,886,935 5,632,521 11,859,632 0 42.64% 47.96% 23.60% 10.51% 124.70% Richmond 1,011,450 748 0 1,010,702 0 215,377 0 48.58% 5957% 25.05% 1.21% 134.41% Richville 42,330 0 0 42,330 0 7,744 0 34.46% 44.73% 11.65% 4.56% 95.39% Riverton 89.055 0 498 88,557 3,735 37,981 0 28.03% 48.66% 11.36% 10396 89.07% Robbinsdate 11,554,443 370,125 425,999 10,758,319 2,393,514 1,732,440 0 4264% 4058% 28.62% 996% 121.809G Rochester 105,1308,434 1,754288 0 104,054,146 0 38,976,258 606,896 525996 42.55% 20.70% 0 115.84% Rock Creek 1,530,504 - 0 0 1,529,637 0 181,330 0 45.01% 13.93% 19.47% 016% 78.56% Rockford 3,251,597 325,172 48,249 2,878176 65,269 833,293 0 36.39% 46.14% 34.72% 0.51% 117.76% Rockville 2,848,034 0 0 2,848,034 0 630,853 76,370 48.66% 34.5996 19.41% 1.14% 103.80% 41111 Rogers 16,852,350 4,764,749 3,908,241 8,179,360 704,987 9,452,259 0 42.64% 40.61% 39.65% 6.77% 129.67% Rollingstone 390,799 0 0 390,799 0 38,892 0 43.04% 36.59% 16.44% 0.62% 96.70% Roosevelt 53,832 0 0 53,832 0 9,530 0 61.22% 26.01% 49.25% 112% 137.60% Roscoe 68,499 0 0 68,499 0 10,777 0 48.62% 26.28% 16.19% 1.21% 92.29% Rose Creek* 179,629 0 0 179,629 0 22021 0 45.94% 64.02% 6.29% 1.78% 118.03% Roseau 1,543,686 29,850 0 1,513,836 0 669,248 10,766 62.01% 6923% 40.01% 9.85% 18110% Rosemount 25,633,368 732,358 2,295,853 22,605,157 2,825,692 6.321.515 0 27.27% 43.36% 2515% 4.98% 100.75% Roseville 57,782,007 1,932,224 10,610,161 45,239,622 4,347,487 28,814,989 0 5025% 27.37% 15.05% 820% 100.87% Rothsay 208.869 0 0 208.869 0 39,835 0 43.71% 62.80% 6.41% 0.23% 113.1396 Round Lake 134523 0 rc 0 134,523 0 42,917 0 43.31% 60.71% 6.66% 0.35% 11104% Royalton 714,863 32.267 7 0 682,596 0 157,282 0 49.35% 31.52% 28.05% 0.66% 109.58% Rush City 1,473,795 138,647 `0 1.335148 0 523,296 0 59.31% 30.82% 34.18% 1.34% . 125.65% Rushford 943,182 9,115 t 0 934,067 0 187,389 14,090 32.05% 78.15% 9.35% 0 119.56% Rushford Village 983,807 0 0 983,807 0 190,608 0 34.26% 34.46% 10.80% 0 79.52% Rushmore 122,173 0 0 122,173 0 24,448 0 43.96% 875096 25.49% 178% 158.73% Russell 140,705 0 0 140,705 0 15,858 0 43.66% 60.55% 638% 0.35% 110.94% Ruthton 92,236 0 0 92,236 0 46,282 0 34.85% 927396 5.51% 0.34% 133.42% Rutledge 167,825 0 0 167,825 0 35,526 0 45.01% 25.30% 11.35% 0.16% 81.81%- Sabin 241,718 0 0 241,718 0 18,803 0 54.48% 47.73% 28.38% 2.37% 132.96% Sacred Heart 143,986 1,122 0 142,864 0 48,212 0 40.52% 187.7296 017% 133% 229.74% St.Anthony 37,983 0 0 37,983 0 1,823 0 48.66% 5.36% 23.72% 0.91% 78.64% St.Anthony Village 9,797,459 1,443,772 943,629 7,410,058 1,286.946 2.602,745 0 44.57% 54.38% 32.72% 10.74% 142.41% St.Augusta 3523,499 1,548 - 0 3,521,951 0 527165 0 48.66% 23.93%. 12.50% 053% 85.61% St.Bonifacius 2380,397 0 201,368 2,179,029 377,550 561,622 0 42.64% 28.85% 26.94% 828% 106.72% St.Charles 2,495,171 180,756 0 2,314,415 0 437,041 0 4191% 34.40% 18.89% 22796 97.47% St.Clair 393,915 94,770 0 299145 0 32,865 0 4198% 69.03% 34.70% 0.19% 145.89% St.Cloud 51,233,744 1,428,371 0 49,805,373 0 20,577,841 396,960 49.89% 40.59% 12.64% 3.06% 106.17% St.Francis 5,609,363 16,833 377,468 5,215,062 1,470,600 865,676 0 35.59% 4427% 24.87% 4.31% 109.03% St.Hilaire 100,550 0 0 100,550 0 37,087 0 74.58% 35.46% 293996 5.73% 145.16% St.lames 1,735,002 49,051 0 1,685,951 0 470,915 7,760 56.43% 50.85% 12.92% 0.84% 121.04% St.Joseph 3,834,958 92,804 0 3,742,154 0 1,106,616 0 48.65% 48.47% 12.35% 0.97% 110.43% St Leo 25,873 - 0 0 25,873 0 2,330 0 54.39% 48.31%. 14.51% 167% 118.8996 St.Louis Park 68,815,028 6,976,791 7,372502 54,465,735• 6141,018 23,811,1/7 0 42.64% 37.12% 2121% 1128% 11225% St.Martin 236,089 9,607 0 226,482 0 85,888 0 48.66% 49.57% 220396 121% 121A7% St.Mary's Point 844,541 0 0 844,541 0 63215 0 27.78% 20.89% 19.7336 271% 7111% St.Michael 15,874,438 485,312 0 15,389.126 0 2,748,160 0 35.82% 30.58% 50.32% 0.88% 117.6016 St.Paul 265,145,261 25,462,650 30,378,751 209,303,860 56,480,186 88,151,798 0 46.47% 36.46% 28.51% 9.59% 121.02% St Paul Park 4,011,963 532,625 254,723 3,224,615 1,114,215 834,986 0 27.78% 35.03% 31.65% 4.50% 98.95% St Peter 5,432,961 777,168 0 4,655,793 0 955,872 22,311 51.50% 43.37% 13.76% 0.54% 109.17% St.Rosa 66,708 0 0 66,708 0 23,136 0 48.66% 25.48% 19.68% 121% 95.03% St Stephen 585,189 0 0 585,189 0 52,483 0 48.58% 38.54% 34.04% 0.53% 1216896 St.Vincent 19,453 0 0 19,453 0 1,261 0 38.75% 50.97% 10.09% 4.60% 104.4296 1111 Sanborn /54,568 0 0 154,568 0 57,752 0 46.65% 49.86% 2.89% 0.33% 99.73% Sandstone 767,238 4,069 0 763,169 0 282,450 0 44.96% 61.37% 34.12% 2.44% 142.89% Sergeant* 42126 0 0 42,126 0 11,313 0 47.50% 47.48% 15.11% 178% 111.86% Sartep 13,713,834 43,615 0 13,670,219 0 3.920.728 21,528 50.61% 33.10% 32.78% 1.89% 118.38% Sauk Centre 3,179,844 637,665 0 2,542179 0 1,099,113 25,412 48.55% 58.95% 18.19% 121% 126.90% *Data for cities in Polk and Mower counties is preliminary. 2 2 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2 0 I 0 I 2010 MV TAX RATES I I 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City NA City Levy Dlsp Levy Net Levy After MVHC Population Tax Rate Rehnb Cut fill) Pierz 0 0 0.1776% 413,871 362,938 280,515 0 280,515 256,707 1,402 Pillager 0 0 0.0378% 124,543 124,543 212350 0 212,350 200,799 493 Pine City 0 0 0.2098% 544,785 426,553 1,089,156 0 1,089,156 1.033,208 3.296 Pine Island 0 0 0.1343% 677,989 498,960 1,664,422 0 1,664,422 1,584.108 3,387 Pine River 0 0 0.0351% 257,014 257,014 373.868 0 373,868 352,237 907 Pine Springs 0.0031% 0 0.1696% 2,445 0 38,000 2,175 35,825 37.565 384 Pipestone 0.0700% 0 0.2927% 1.765,316 1,535,857 1,471,086 0 1,471,086 1.360,120 4.324 Plainview 0 0 0.089256 685,955 544,648 1.496,000 0 1,496,000 1,421,187 3,376 Plato 0 0 0.1658% 22.094 22,094 154.350 0 154,350 147,896 313 Plummer 0 0 0.3464% 51,436 51,436 121,901 0• 121,901 115,958 250 Plymouth - 0 0.0073% 0.1829% 0 0 27,484,594 1,994,714 25.489,880 26,898,209 71,930 Porter 0 0 0.1615% 36,845 36,845 40,416 0 40.416 37,767 151 Preston 0 0 0.2106% 561,430 484,980 651504 0 651,504 612,808 1,375 Princeton 0 0 0.1015% 756,732 535,932 2,184,179 0 2.184,179 2,083,372 4,518 Prinsburg 0 0 0.1840% 80,199 80,199 224.929 0 224,929 214,468 447 Prior Lake 0 0.0401% 0.1873% 0.. 0 8,994,288 757,409 8,236,879 8,735,764 23,335 Proctor 0 0 0.0397% 1.099,505 955,226 946,401 0 946,401 876,253 2,866 • Quamba 0.0186% 0 0.0581% 15,768 15,768 27.500 0 27,500 26,016 115 Racine* 0 0 0.2069% 62,590 62,590 155,022 0 155,022 147,561 418 Ramsey - 0 0 0.2524% 0 0 8,586,049 1,439,199 7.146,850 8,159,557 23,272 Randall 0 0 0.2196% 124,275 124,275 125,000 0 125,000 116,453 582 Randolph 0.0050% 0 0.1488% 11,015 11,015 71,178 10,982 60,196 68,360 396 Ranier 0 0 0.1522% 22,931 22,931 30,849 0 30,849 29,005 161 Raymond 0 0 0.4869% 211,726 211,726 175,097 0 175,097 161,834 765 Red Lake Falls 0 0 0.4696% 630,946 546,204_ 497.591 0 497,591 458,897 L593 Red Wing o 0 0.2044% 1.518,176 619,586 12,660,137 . 0 12,660,137 12,203.737 16.294 Redwood Falls 0 0 0.1261% L331,400 1.075,270 2,078,786 0 2,078.786 L963,504 5,198 Regal 0 0 0.1135% 2,135 2.135 7,000 0 7,000 6,687 29 Remer 0 0 0.0668% 59,370 59,370 184.999 0 184,999 176,620 354 Renville 0 0 0.5541% 478,235 408,605 684,002 0 . 684,002 . 648,890 1,235 Revere 0 0 0.1830% 21,900 21,900 27,501 0 27,501 25,807 - 96 Rice 0 0 0.0193% 173,186 134,865 360,928 0 360,928 342,615 L373 Richfield 0 0 0.1470% 2,513,609 1218,346 15,289,029 2.395,399 12,893,630 14,678,665 33,859 Richmond 0 0 0.1278% 304,083 236,283 602.092 0 602,092 571,022 L345 Richville 0 0 0.0449% 14.356 14.356 18.933 0 18,933 17,792 102 Riverton 0 0 0.0722% 6.064 6,064 45.000 1908 43,092 43.124 104 Robbinsdale 0. 0.0193% 0.2288% 1,675,837 1,170,849 5,250,895 885,600 4,365,295 5,006,456 13,775 Rochester 0 0 0.1173% 8,959,155 5,101,571 44,273,154 0 44,273,154 42447,996 104,578 Rock Creek 0 0 0.1774% 138,898 112,206 213,002 0 213,002 200,936 1,275 Rockford 0 0 0.0939% 327,447 202,623 1,356,700 28,652 1,328,048 1.298,956 4193 Rockville 0 0 0.1225% 11,497 0 986,032 0 986,032 939,800 2,632 illRogers 0 0 0.1753% 0 0 3,593,469 272,076 3,321,393 3,486,239 7,497 Rollingstone 0 0 0.3004% 138,244 138,244 143,001 0 143,001 133,358 636 Roosevelt 0 0 0.1460% 18,647 18,647 14,000 0 14,000 12,881 135 Roscoe o 0 0.1121% 22,486 22,486 18.000 0 18,000 16,612 112 Rose Creek* 0 o 0.4110% 74,909 74,909 115,000 0 115,000 108,489 377 Roseau 0 0 01277% 700.714. 569,076 1049,243 0 1049,243 989,242 2,832 Rosemount 0.0050% 0.0065% 0.2190% 0 0 10,997,056 1,195,913 9,801,143 10,605.781 21,521 Roseville 0 0.0193% 02009% 0 0 13,448,268 1,067,091 12,381,177 12,990,863 34,178 Rethsay 0 0 0.5405% 121,901 121.901 131.161 0 131.161 122,484 492 Round Lake 0 0 0.4745% 123,426 123,426 81,674 0 81,674 74,642 410 Royalton 0 0 0.0381% 193.046 193,046 215,119 0 215,119 201,090 907 Rush City 0 0 0.0338% 712,617 620,496 41L500 0 411,500 384,090 3,063 Rushford 0 0 0.2173% 656,130 559,018 732,609 0 732,609 684,993 1,786 Rushford Village 0 0 0.2173% 70,602 43,944 339,000 0 339,000 324,956 783 Rushmore 0 0 0.2625% 104,929 104,929 106,900 0 106,900 99,637 363 Russell 0 0 0.1673% 84,607 84,607 85,190 0 85,190 79,368 333 Ruthton 0.0700% 0 0.1673% 80,121 80,121 85,526 0 85,526 79,846 247 Rutledge 0 0 0.0619% 3,289 3,289 42456 0 42,456 40,888 181 Sabin 0 0 0.0217% 76,658 76,658 115.370 0 115,370 108,786 453 Sacred Heart 0 0 0.5541% 197,801 197,801 268,183 0 268,183 254,155 491 St.Anthony 0 0 0.1105% 7,166 7,166 2,034 0 2,034 1,719 83 St Anthony Village 0 0 0.2017% 0 0 4,678,219 648,556 4,029,663 4,530,841 8,514 St.Augusta 0 0 0.1156% 52508 0 842,623 0 842,623 798,376 3,289 St Bonifaclus 0` 0 0.1282% 375.249 - 294,333 733,737 105,000 628,737 695,718 2,363 St Charles 0 0 0.0321% 875,913 757,339 796,136 0 796,136 738,807 3,579 St.Clair 0 0 0.1441% 185,051 185,051 206,500 0 206,500 193,075 793 St Cloud 0 0.0710% 0.1149% 12,802,204 10,081,386 20,239.938 0 20.239,938 19,042,564 65,741 St.Francis 0 0 0.1109% 313,889 80,929 2,873225 564.725 2,308,500 2,763,951 7,455 St.Hilaire 0 0 0.1857% 68,128 68,128 35,651 0 35.651 32,093 274 St.James 0 0 0.1383% 1,513,065 1,336,057 859,044 0 859,044 777,711 4,473 St.Joseph 0 0 0.1160% 849,518 645,151 1,813,656 0 1,813,656 1,722,344 6,174 St.Leo 0 0 0.1615%. 17,560 17,560 12,500 0 12.500 11.469 92 St Louis Park 0 0 0.1513% 0 0 22,467,230 2,251,727 20,215,503 21,799,691 46,293 St Martin 0 0 0.1108% 43,998 43,998 112,270 0 112,270 106,912 348 St.Mary's Point 0.0031% 0 0.1203% 2,520 0 176.404 0 176,404 172282 369 St.Michael 0 0 0.1444% 0 0 4,706,149 0 4,706,149 4.496.394 15,277 St Paul 0 0 0.1399% 64,079,116 50,345,488 94,598,867 18.288.849 76,310,018 91,284,106 287,501 St Paul Park 0.0031% 0 0.2078% 276,171 143,307 1,495335 365.808 1,129,527 1434,595 5,221 St Peter 0 0 0.1549% 2,971,096 2,616,126 2,020.342 0 2.020.342 1.849,201 10,917 St Rosa 0 0 0.1694% 961 0 17,000 0 17,000 15,961 34 St Stephen 0 .0 0.0891% 109,637 109,637 225,557 0 225,557 214,064 851 St Vincent 0 - 0 0.2722% 21,076 21,076 9.916 0 9,916 8,853 70 411 Sanborn 0 0 0.2317% 125,630 125,630 77.072 0 77,072 70,122 394 Sandstone 0 0 0.0627% 945,047 825,349 468,334 0 468,334 435,115 2871 Sergeant* 0 0 0.1431% 12,366 12,366 20.000 0 20,000 18.890 71 Sarteil 0 0 0.0856% 373329 3.554 4,525,897 0 4,525,897 4,357,837 15,062 Sauk Centre 0 0 0.2450% 1,170,496 966,004 1,504,143 0 L504.143 1,412,438 4,316 S E P T E M B E R-O C T O B E R 2010 M I N N E S 0 T A CITIES 2 3 1 2010 TAX BASE DATA ---I { 2010 NET TAX CAPACITY RATES ',, Total Captured TWF Fiscal DivTaxable Fiscal Dfsp Total State JOBZ/BI0 Average Average Average Average Average Tax Tax Capacity Contdb Tax Capacity Distil, Tax Capacity Tax Capacity County City School Special Total Capacity Tax Capacity Tax Capacity (cabin&C/I) Tax Rate - Tax Rate Tax Rate Tax Rate NTC Rate OSauk Rapids 8,858,875 974,802 - 0 7,884,073 0 2,343,444 0 65.03% 47.14% 38.26% 137% 151.79% Savage 31,342,817 129,985 2,929,479. 28,283,353 3,856,058 8,244,486 0 33.24% 47.34% 26.59% 5.49% 112.65% 1 Scandia 6,465,388 0 137,580 6,326,411 417,421 655,319 0 27.78% 28.45% 13.96% 5.67% 75.85% Scanlon 737,749 54,821 0 " 682,928 0 137,423 0 67.45% 36.49% 33.74% 0.15% 137.83% Seaforth 26,097 0 0 26,097 0 1,850 0 46.17% 3832% 10.57% 033% 95.39% Sebeka 275,165 20,744 0 254,421 0 75,992 0 68.91% 78.61% 4.30% 0.09% 151.91% Sedan 23,356 0 0 23,356 0 6,361 0 37.97% 62.17% 15.20% 3.81% 11914% Shafer 578,963 0 0 578,963 0 116,485 0 59.39% 59.14% 20.38% 1.34% 140.26% Shakopee 45,614,634 151,914 6,510,557 38,952,163 4,856,119 16,696,379 0 33.24% 33.71% 29.05% 4.98% 100.97% Shelly 49,776 0 0 49,776 0 9,713 0 39.95% . 42.59% 7.91% 5.02% 95.47% Sherburn 326,146 0 0 326,146 0 59,867 0 36.51% 154.76% 2.51% 0.48% 19425% Shevlin 55,512 0 0 55,512 0 18,111. 0 48.56% 47.02% 24.76% 0.26% 120.5996 Shoreview 34.831,027 1,933,124 3,255,370 29.642,533 -3,314,107 8,466,540 0 5025% 275716 23.71% 7.55% 109.0896 Shorewood 18,176,405 0 432,998 17,743,407 526,521 1,193,274 0 42.64% 26.15% 18.16% 9.61% 96.57% Silver Bay 1,236,777 0 123,906 1,112871 96,424 413,026 0 35.89% 79.04% 16.21% 1.98% 133.1396 Silver Lake 445,123 0 0 445,123 0 40,206 0 52.98% 104.80% 4.73% 0.21% 162.72% Skyline 221,694 0 0 221,694 0 1,312 0 4199% 20.30% 19.69% 0.19% 82.16% Slayton 879,998 48,423 0 831,575 0 230.818 0 27.98% 80.53% 11.78% 0.34% 120.63% Sleepy Eye 1,516,366 50959 0 1,465,407 0 315,118 0 47.13% 77.50% 13.70% 0.19% 138.52% Sobieski 114,140 0 0 114,140 0 10,003 0 49.38% 36.52% 14.96% 0.66% 1015396 Solway 35,521 0 0 35,521 0 8,963 0 ` 54.0096 39.41% 20.99% 1.45% 115.8596 South Haven 115,532 0 0 115,532 0 23,215 0 35.82% 85.33% 71096- 135% 129.60% South St Paul 17,235,046 1,678,547 1,179,994 14,376,505 3,889,785 4.370,590 0 24.73% 41.43% 26.78% 5.88% 98.82% Spicer 1,579,788 202,860 0 1,376,928 0 502,518 0 53.75% 59.43% 18.90% 3.17% 13525% Springfield 773,778 25,328 0 748,450 0 163,138 0 46.75% 106.91% 17.84% 0.19% 171.68% Spring Grove 599,031 12,777 0 586,254 0 139,393 13,254 54.21% 77.70% 2.78% 0 134.69% Spring Hill 46,161 0 0 46,161 0 4,839 0 48.66% 32.81% 19.68% 1.21% 102.35% Spring Lake Park 6,363,324 166,911 945,690 5,250,723 1,239,291 2,232,310 0 35.96% 54,46% 3147% 7.80% 129.69% Spring Park 3,292,502 73153 279,637' 2,939,712 164,948 656,762 0 42.64% 31_71% 9.77% 9.65% 93,77% Spring Valley 1,291,172. 117,120 0 1,174,052 0 283,180 0 3120% 74.98% 26.53% 0 13272% Squaw Lake 61,855- 0 3,062 58,793 3,596 23,328 0 47.66% 29.6096. 16.25% 0.42% • 93.94% Stacy 1,164,715 72,382 0 1,092,333 0 490,829 0 5936% 37.75% 33.82% 1.34% 132.26% Staples 1,182,771 28,904 0 1.153,867 0 276,976 534 58.93% 62.53% 10.11% 0.09% 13167% Starbuck 781.818 2,205 0 779,613 0 190,015 0 37.92% 102.62% 15.14% 1.26% 156.93% Steen 55,462 0 0 55,462 0 3,584 0 28.57% 38.77% 9.23% 0.32% 76.89% Stephen 174,028 0 0 174,028 0 37.166 0 41.70% 74.47% 8.35% 7.14% 131.66% Stewart 257,402 0 0 257,402 0 59,461 11,528 50.07% 141.84% 1195% 132% 205.18% Stewartville 3,657,126 132,456 0 3,524,670 0 802,708 0 53.16% 49.27% 25.81% 0 128.23% Stillwater 23,715,529. 3,183,512 2,284,482 18,247535. 2276,903 5,986,405 0 25.56% 49.43% 19.7396 5.83% 100.56% Stockton 394,195 0 0 394,195 -0 43,240 0 4321% 26.16% 16.68% 0.62% - 86.68% Storden 66,132 0 0 66,132 0 17,098 0 36.11% 167.30% 0.76% 0.32% 204.50% Otrandquist 12,697 0 0 12,697 0 4321 0 4170% 47.26% 6.68% 714% 102.79% trathcona 9,314 0 0 9314 0 1,779 0 62.13% 26.84% 10.45% 8.08% 107.50% Sturgeon Lake 298,113 0 0 298,113 0 75.030 0 45.01% 8120% 11.35% 0.16% 137.71% Sunburg 35,730 0 0 35,730 0 9.632 0 54.14% .1% 104.46% 15.81% 1.50% 175.90% Sunfish Lake 1,959.828 0 0 1,959,828 0 23,119 0 2727% 18.63% 18.85% 4.42% 69.17% Swanville 180,129 8,540 0 171,589 0 74,737 6,444 49.45% 42-66% 25.40% 0.66% 1181796 Taconite 238,013 0 12,859 - 225,154 10,686 57,274 0 43.20% 8124% 15.56% 0.42% 140.43% Tamarack 45.316 0 0 45,316 0 11,660 0 32.93% 50.51% 1192% 0.14% 95.50% Taopi* 16,819 0 0 16,819 0 1.504 0 47.50% 32.70% 7.91% 0.50% 88.61% Taunton 56,881 0 0 56,881 0 13.428 0 45.45% 6159% 17.84% 142% 126.30% Taylors Falls 782,177 15,806 0 766,371 0 155,285 0 5726% 81.10% 20.36% 1.34% 160.05% Tenney 34,189 0 0 34,189 0 33.995 0 50.27% 3114% 3.13% 0.22% 84.77% Tenstrike 168,360 0 0 168,360 0 37,427 0 54.00% 16.04% 21.00% 4.61% 95.64% Thief River Falls 3,760,665 99,402 0 3,661,263 0 1,196,102 0 ' 75.44% 43.22% 30.26% 5.73% 154.65% Thomson 147,883 0 0 147,883 0 49,699 0 64.13% 58.67% 13.88% 0.15% 136.83% Tintah 17,806 0 0 17,806 0 5,145 0 6130% 7719% 2.84% 5.72% 147.05% Tonto Bay 6,878,662 0 108,593 6,770,069 54,209 219,797 0 42.64% 1537% 18.66% 9.65% 863296 Tower 396,708 16,940 20,260 359,508 14,698 103.581 0 53.70% 81.06% 13.85% 1.08% 149.68% Tracy 672,117 0 0 672,117 0 179,408 0 42.36% 140.76% 2.93% 0.35% 186.41% Trail* 33,668 0 0 33,668 0 22321 0 6298% 23.76% 23.00% 5.52% 11526% Trimont 239,880 0 0 239,880 0 72,732 0 38.61% 102.80% 5.93% 0.48% 147.82% Trommaid 87,488 0 189 87,299 4,069 9.614 0 28.03% 30.07% 11.36% 1.03% 70.49% Trosky 43,538 0 0 43,538 0 3,699 0 38.12% 45.94% 19.51% 034% 103,91% Truman 387,883 0 0 387,883 0 102,399 6,230 37.20% 60.56% 4.83% 0.48% - 103.07% Turtle River 84,321 0 0 84,321 0 23,233 0 54.00% 2194% 20.99% 1.45% 98.38% Twin Lakes 54,393 0 0 54393 0 22,508 0 55.56% 30.74% 2139% 13896 109.07% Twin Valley 198,303 0 0 198,303 0 32,909 0 37.95% 86.28% 19.73% 5.02% 148.98% Two Harbors 2588,531 177,723 216,140 2,194,668 146,684 818.823 0 36.61% 60.71% 16.50% 1.47% 115.29% Tyler 403,425 15,688 0 387,737 0 67.007 0 40.57% 59.94% 833% 0.59% 109.43% Ulen 311,891 0 0 311,891 0 148.893 0 55.18% 23.03% 34.30% 6.73% 119.24% Underwood 190,411 0 0 190,411 0 46,725 0 34.25% 40.82% 23.2296 0.56% 98.86% Upsala 273,117 0 - 0 273,117 0 44,920 2,949 4938% 55.93% 54.11% 0.66% 160.08% Urbank ' 32,650 0 0 32,650 0 7,709 0 34.46% 10.20% 14.35% 0.56% 59.57% Utica 170,505 0 0 170,505 0 35,650 0 43.21% 29.03% 19.05% 0.50% 9179% Vadnais Heights 18,383,093 2255557 2,932,076 13,195,460 1,791,620 7.357,068 0 50.25% 2316% 22.10% 7.12% 102.62% Vergas 260,708 0 0 260,708 0 66,670 0 34.46% 47.23% 18.50% 0.56% 100.75% Vermillion 376,841 0 11,818 365,023 71,004 34,382 0 27.27% 38.85% 2021% 3.82% 90.14% Verndale 226,044 10,018 0 216,026 0 54,353 0 71.49% 53.03% 23.83% 0.09% 148.44% Vernon Center 230,672 0 0 230,672 0 84,078 0 40.71% 83.46% 19.27% 0.19% 143.63% Vesta 92,794 0 0 92,794 0 33,553 0 44.90% 118.65% 9.07% 0.33% 172.95% Victoria 11,512,270 279,075 174,439 11,058,756 569,943 503,796 0 3951% 37.08% 32.33% 4.68% 113.60% Viking • 23,915 0 0 23,915 0 ' 2,550 0 41.44% 62.72% 5.08% 7.14% 116.39% Villard 127,027 0 0 127,027 0 39,948 0 37.70% 58.02% 14.88% 8.11% 118.71% ping 44,315 0 0 44,315 0 13,920 0 34.46% 28.09% 12.71% 056% 75.82% Virginia 4,428,322 54,533 414,662 3,959,127 523,822 1,768.464 0 46.93% 77.19% 6.14% 186% 132.12% Wabasha 2,478,605 363,109 0 2115,496 0 654,576 0 51.73% 44.03% 13.49% 10.5096 109.75% Wabasso 299.486 22.879 0 276.607 0 108.511 0 46.43% 108.50% 11.50% 0.33% 166.76% *Data for cities in Polk and Mower counties is preliminary. 2 4 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2010 I 2010 MV TAX RATES I I 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield on Levy 2009 County MV MV Tax Rate MV Tax Rate City LGA City LGA City Levy Dish levy Net Levy After MVHC Population Tax Rate Reimb Cut 41111 Sauk Rapids 0 0 0.0193% 2,016,176 1,579,706 3,716,394 0 3,716,394 3,519,841 13,133 Savage 0 0.0152% 0.2196% 0 0 15,162.314 1,774,288 13,388,026 14,680,404 27,567 Scandia 0.0031% 0 0.1321% 0 0 1,918,648 119,053 1,799,595 1,859,750 4,195 Scanlon 0 - 0 0.0530% 183,733 183,733 249,221 0 249,221 234,377 864 Seaforth 0 0 0.2635% 17,052 17,052 10,000 0 10,000 9.072 60 Sebeka 0 0 0.1951% 176,270 176.270 199.999 0 199,999 187,098 665 Sedan 0 0 0.1504% 7,243 7.243- 14.520 0 14,520 13,774 49 Shafer 0 0 0.1037% 139,509 139,509 342,400 0 342,400 325,877 857 Shakopee 0 0.0056% 0.1241% 0 0 14.715.299 1,584,552 13.130,747 14,156,439 34,691 Shelly 0 0 0.5925% 67,648 67,648 21,200 0 v 21,200 18,154 232 Sherburn 0 0 0.1561% 347,241 291,361 504,734 0 504,734 476,706 991 Shevlin 0 0 0.0361% 24,267 24.267 26,100 0 26,100 24,373 160 Shoreview 0 0 0189956 0 0 9,004,998 832,802 8,172,196 8,683,739 25,882 Shorewood 0 0 0.1977% 0 0 4,776.438 135.827 4.640,611 4.743.714 7,618 Silver Bay 0 0 0.0178% 559,635 450,020 947,728 68,104 879.624 892,288 1,962 Silver Lake 0 0 0.1658% 172,920 172,920 466,471 0 466,471 444,377 806 Skyline 0 0 0.1474% 4,533 4,533 45.000 0 45,000 43,302 297 Slayton 0 0 0.3628% 874,471 762,656 669,706 0 669,706 616,761 1,998 Sleepy Eye 0 0 - 0.0328% 1,457,077 /274191 1.135,661 0 1,135,661 1,046,764 3,521 Sobieski 0 0 02196% 11,997 11,997 41,686 0 41,686 39,845 174 Solway 0 -0 0.1280% 5,346 5,346 14,000 0 14,000. 13,337 73 South Haven 0 0 0.1340% 32,626 32,626 98,584 0 98,584 94,085 213 South St.Paul 0.0050% 0 0.2141% 2,378,665 /663,720 7,454,707 1,498,812 5.955,895 7,117,554 20,180 Spicer 0 0 0.1277% 111134 45,440 818,293 0 818,293 788,541 1,129 Springfield 0 0 0.1579% 997,680 875.030 800,130 0 800,130 738,488 2.185 Spring Grove 0 0 0.3988% 435.382 367,822 455.537 0 455,537 424,990 1,276 Spring Hill 0 0 0.1694% 2,349 2,349 15.145 0 15,145 14,614 61 Spring Lake Park 0 0 0.1383% 146,604 0 3,416.975 557,694 2,859281 3,249,895 6,768 Spring Park 0 0 01106% 76,840 0 980.016 47,833. 932 183 973,823 1,868 Spring Valley 0 0 0.0841% 934,484 797,702 880,347 0 880,347 818,122 2,526 Squaw Lake 0 0 0.0180% 9.632. 9,632 18283 881 17,402. 17,326 98 Stacy 0 0 0.0260% 285,129 227.714 412,386 0 412,386 391,855 1.439 Staples 0 0 0.1277% 1-091,899 957,573 721,717 0 721,717 659,535 3,099 Starbuck 0 0 0.1504% 389,974 316,109 800,008 0 800.008 762,572 1.321 Steen 0 0 0.2119% 33,495 33.495 21,500 0 21,500 19,614 163 Stephen 0 0 0.2514% 196,012 196,012 129,600 0 129,600 118,436 688 Stewart 0 0 0.2014% 135,488 135,488. 370,132 0 370,132 355,208 525. Stewartville 0 0.0600% 0.2069% 794,504 599,307 1,736,534 0 1,736,534 1,643,067 5,955 Stillwater 0.0031% 0 0.1203% 1,012,574 174,580 10,110,188 1,090,127 9,020.061 9,737,539 18,235 Stockton 0 0 0.3004% 154,893 154,893 103,137 0 103,137 94,290 764 Storden 0 0 0.2317% 71,222 71,222 110,637 0 110,637 104,423 235 Strandquist 0 0 0.1962% 18,604 18.604 6.000 0 6.000 5,156 73 iiiiStrathcona 0 0 0.1527% 3,800 3,800 2,500 0 2,500 2,284 27 Sturgeon Lake 0 0 0.0619% 26,554 26,554 242,059 0 242,059 232.849 394 Sunburg 0 0 0.1488% 26,054 26,054 37.322 0 37,322 35,149 90 Sunfish Lake 0.0050% 0 0-1019% 0 0 365,018 0 365,018 364,757 548 Swanville 0 0 - 0.2091% 87,133 87,133 73,600 0 73,600 68,089 351 Taconite 0 0 0.1113% 96,064 96,064 194,029 11,117 182,912 185,782 334 Tamarack 0 0 0.0323% 2,789- 2,789 22,887 0 22,887 - 22,007 53 Taopi* 0 0 0.4110% 9.097 9,097 5,500 0 5.500 5.000 77 Taunton 0 0 0.0462% 44,064 44,064 35,030 0 35,030 32.318 181 Taylors Falls 0 0 0.1037% 202164 144,304 621,506 0 621.506 593.573 1,031 Tenney 0 0 11366% 1.090 773 10,646 0 10,646 -10,631 4 Tenstrike 0 0 0.0652% 3,027 3,027 27,000 0 27,000 25,970 187 Thief River Falls 0 0 0.1857% 2,745,096 2,418,906 1,582,397 0 1,582,397 1,434.020 8,522 Thomson 0 0 0.1093% 9,840 9.840 86,761 0 86,761 83,449 .166 Tlntah 0 0 1.1366% 12,428. 12,428 13,745 0 13,745 12,848 60 Tonka Bay 0 0 0.2024% 9,330 0 1,048,631 7,868 1,040,763 1,043,903 1,549 Tower 0 0 0.0400% 85,136 85,136 303,151 11,745 291,406 289,207 498 Tracy 0 0 0.1758% 977,585 859,170 946,083 0 946.083 886,555 2,103 Trail* 0 0 0.1323% 2,531 2,531 8,000 - 0 8,000 7,639 60 Trimont 0 0 0.1561% 224,978 224,978 246,603 0 246,603 230,434 668 Trommald 0 0 0.0722% 7,511 7,511 27,500 1,246 26.254 26,209 117 Trosky 0.0700% 0 0.2935% 19,317 19,317 20,000 0 20,000 18,652 107 Truman 0 0 0.4267% 442,943 392,748 235,937 0 235,937 212.660 1161 Turtle River 0 0 0.1280% 0 0 18,500 0 18,500 17,866 - 77 Twin Lakes 0 - 0 02590% 27,631 27,631 16,720 0 16,720 15199 148 Twin Valley 0 0 0.4575% 277,131 277,131 171.090 0 171,090 155,722 773 Two Harbors 0 0 0.0178% 1,307,795 1.107,828 1419,196 86,769 1,332,427 1,325,695 3.578 Tyler 0 0 0.1673% 436.173 387.654 232,402 0 232.402 209,479 1,174 Ulen 0 0 0.3865% 143,557 143,376 71,831 0 71,831 64,627 538 Underwood 0 0 0.0390% 74,152 74.152 77,724 0 77,724 72,517 322 Upsala 0 0 0.1324% 65,078. 65,078 152,757 0 152,757 145288 417 Urbank 0 0 0.3095% 6,782 6,782 3,329 0 3.329 2,982 54 Utica 0 0 0.0321% 32,016 32,016 49,499 0 49,499 46.704 237 Vadnals Heights 0 0 0.1905% 0 - 0 3,397,816 341,322 3,056,494 3,249,211 13,071 Vergas 0 0 0.2440% 31.426 31.426 123,138 0 123,138 117.838 318 Vermillion 0.0050% 0 0.2590% 5,952 5,952 168,566 26,773 141,793 162,582 450 Verndale 0 0 0.0477% 134,602 134,602 114,568 0 114,568 106,025 540 Vernon Center 0 0 0.1445% 66262 66,262 192,510 0 192,510 183,634 332 Vesta 0 0 0.2635% 85,466 85,466 110,100 0 110.100 103,395 306 Victoria 0 0 0.1876% 0 0 4,312,281 212,092 4,100,189 4,259,978 6,727 '., Viking 0 0 0.1908% 19,382 19,382 15,000 0 15,000 13,821 78 gioVillard O 0 0.1504% 38,810 38,810. 73,701 0 73,701 69,843 - 228 Vining 0 0 0.2377% 9,592 9,592 12,450 0 12,450 11,694 56 Virginia 0 0 0.2007% 4,543,165 4,062,905 3.418,478 362270 3.056,208 3,174,682 8,609 Wabasha 0 0 02225% 707,583 584,751 931,431 0 931,431 875,234 2,631 Wabasso 0 0.0179% 0.2635% 190.307 190,307 300,113 0 300,113 283.150 634 SEPTEMBER -O C T O B E R 2010 M I N N E S O T A CITIES 2 5 I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES I Total Captured OF Fiscal Nap Taxable Fiscal Dlsp Total State JOBZ/BIO Average Average Average Average Average Tax Tax Capacity Conbib Tax Capacity Distrlb Tax Capacity Tax Capacity County City School Special Total Capacity Tax Capacity Tax Capacity (cable&C/I) Tax Rate Tax Rate Tax Rate Tax Rate NTC Rate 0 Waconla 12,914,365 50,144 1,301,116 11,563,105 1,388263 3,741,227 0 39.51% 36.04% 26.94% 394%: 106.43% Wadena 2,073,939 62,724 0 2,011,21,5 0 - 691,466 77,450 70.01% 3814% 22.42% 0.09% 130.6696 Wahkon 476,656 0 0 476,656 0 - 221,387 0 64.33% 42.00% - 13.43% 016% 119.92% Waite Park 11,015,896 1,960.750 0 9,055,146 0 - 7,559,310 0 48.66% 53.95%. 12,3616 .. 2.5796,- 117.55% Waldorf 108,013 0 0 108,013 0 18,821 0 5166% 58.77% 14.31% 0.18% 124.93% Walker 1,628,163 298,954 0 1329,209 0 874,103 33,707 27.05% 76.16% 5.18% 0.10% 108.4996 Walnut Grove 227,519 0 0 227,519 0 106,499 0 45.54% 84.39% 1.95% 0.33% 132.21% Waiters 12,917 0 0 12,917 0 2,351 0 40.01% 141.03% 1.13% 0.17% 182.35% Waltham* 74,698 0 0 74,698 0 12,853 0 4424% 32.77% 11.93% 178% 90.73% Wanamingo 865,177 49,095 0 816,082 0 212,424 0 43,77%. 52.83% 19,21% 0.72% 116.53% Wanda 21,189 0 0 21,189 0 7,641 0 43.01% 16211% 8.4096 0.33% 213.84% Warba 93,074 0 2,125 90,949 9,273 22,265 0 47.66% 40,37% 16.25% 042% 164.7096 Warren 498,079 21.017 0 477,062 0 125,903 0 41.70%.. 69.50% 4.99% 7.14% 123.34% Warroad 1,023,107 114,490 0 908,617 0 487,086 0 62.13% 78.30% 49.27% 1.17% 190.8696 Waseca 5,286,873 177,298 0 5,109,575 0 1,583,959 6,636 51.55% 64.20% 19.46% 106% 136.27% Watertown 3,078,114 30,148 168,053 2,879,913 861,468 469,339 0 39.51% 43.81% 40.51% 5.93% 129.76% Waterville 1,412,586 27,632 0 1,384,954 0 339,039 0 37.11% 56.29% 5.60% 0.18% 99.18% Watkins 465,564 31,866 0 433,698 0 134,367 0 45.31% 111.37% 18.05% 193% 176.65% Watson 44,415 0 0 44,415 0 - 7,391 0 39.37% 132.95% 16.91% - 0,8396 190.0696 Waubun 118,530 5,621 0 112,909 0 25,670 0 86.28% 881396 19.58%. 6.70% 200.69%. Waverly 1,466,246 0 0 1,466,246 0 278,623 0 35.77%. 66.16% 25.63% 0 127.55% Wayzata 21125,882 1,939,532 2,739,406. 16,446,944 - 163,855 7,235,962 0 42.64% 2036% 2328% - 9.65% 95,91% Welcome 490,265 16,261 0 474,004 0 294,510 518,024 38.88% 89.60% 6.40% 0.48% 135.35% Wells 959,887 23,546 0 936,341 0 255,058 0 44.63% 69.35% 7.90% 0.17% 122.04% Wendell 77,984 0 0 77,984 0 22,553 0 49.25% 80.74% 1164% 6.07% 147.71% West Concord 375,723 10,714 0 365,009 0 49,973 0 44.49% 168.69% 14.83% 0 228.00% West St Paul 19,214,007 1,735,549 2,133,325 15,345,133 3,271,505 5,765,465 0 27.27% 50.87% 18.85% 4.42% 101.41% West Union 34,662 0 0 . 34,662 0 5,653 0 56.93% 16.59% 26.27% 0.77% 100.56% Westbrook 235,050 0 0 235,050 0 35,754 0 37.91% 75.9096 3.38% 0.32%- 117.51% Westport 23,283 0 0 -23223 0 6,914 0 379796 2029% 15.20% 4.48% 77.94% Whalan 58,673 0 0 r 58,673 0 17,004 0 34.26% 3727% 16.23% 0 87.77% Wheaton 565,951 10,270 0 555,681 0 178,374 2,706 53.16% 115.76% 1,04% 5.72% 175.67% White Bear Lake 28,279,755 701,286 3,012,350 24,566,119 3,856,468 7,998,500 0 49.82% 16.59% 218616 7.58% 95.85% Wilder 25,779 0 - 0 25,779 0 11,284 0 42.89% 96.80% 22.72% 2.33% 164.74% Willernie 466,111 0 33,101 433,010 98,859 94,191 0 27.78% 33.92% 2639% 5.40% 93.48% Williams 64,730 0 0 64,730 0 25,294 0 43.86% 93.31% 45.92% 027% 183.37% Willmar 12,926,455 22,865 0 12,903,590 0 5,166,546 113,205 53.36% 28.43% 19.84% 247% 104.11% Willow River 308,231 0 0 308,231 0 61,043 0 - - -45.01% 27.58% 11.35% 244% - 86.38% Wilmont 103,172 0 0 103,172 0 21,649 0 43.85% 8418% 25.25% 1.78% 155.0696 Wilton 114,568 0 0 114,568. 0 25,407 0 54.00%. 7.71% 20.99% 145% - '8421% Windom 2,210,620 210,723 0 1,999,897 0 622,423 0 3723% 7824% 2114% 032% 136.93% Winger* 61,220 0 0 61,220 0 24,145 0 59.27% 92.44% 19.08% 7.72% 178.5096 innebago 640,557 8,993 0 631,564 0 244,558 4,800 4259% 71.67% 3.95% 0.17% 118.39% Winona 19,375,826 0 0 19,375,826 0 7,125.052 166,910 4185% 3181% 16.45% 2.37% 92.48% Winsted 1,655,959 25,561 0 1,630,398 0 350,344 125,285 54.02% 65.23% 25.54% 021% 145.0096 Winthrop 880,799 0 0 880,799 0 374,681 . 0 53.47% 60.32% 9.52% 0.77% 124.08% Winton 76,090 0 2,236 73,854 9,763 8,827 0 57.07% 62.50% 624% 108% - 126.90% Wolf Lake 22,955 0 0 22,955 0 5,158 0 38.53% 54.45% 19.70% 0.39% 113.07% Wolverton 53,279 0 0 53,279 0 17,149 0 50.09% 6250% 9.78% 128% 123.66% Wood Lake 142,668 0 0 142,668 0 40283 0 53.41% 83.83% 23.65% 0.71% 161.61% Woodbury 84,582,487 180,330 8,767,839 75,634,318 6,944,864 21,963,404 0 27.78% 31.03% 29.17% 5.38% 93.35% Woodland 3,543,621 0 0 3,543,621 0 11,922 0 42.64% 8.47% 18.66% 9.65% 79.41% Woodstock 34,231 0 0 34,231 0 10,446 0 34.01% 77.12% 16.65% 034% 128.1296 Worthington 5,890,547 535,210 0 5,355,337 0 2,189,676 32,420 43.11% 49.85% 24.43% 4.08% 121.47% Wrenshall 289,630 0. 0 289,630 0 79,879 -0 68.93% 3636% 18.48% 0.15% • 123.92% Wright 68,009 0 0 68,009 0 16,001 0 69.59% 35.71% 38.26% 1.58% 14513% Wykoff 208,653 0 0 208,653 0 36j924 0 322496 69.03% 27.96% 0 12922% Wyoming 8,374,798 140,319 0 8,234,479 0 2,152,200 130,142 59.36% 39.41% 13.96% 2.62% 115.34% Zemple 46,794 0 0 46,794 0 27,412 0 47.66% 25.69% 12.05% 0.42% 85.83% Zimmerman 3,780,853 189,189 0 3,591,664 0 814,935 0 44.43% 32.30% 39.88% 1.86% 118.47% Zumbro Falls 127,342 12,991 . 0 114,351 0 23,109 0 52.90% 46.07% 12.34% 0.50% 111.81% Zumbrota 2,856,214 210,088 0 2,646,126 0 843,786 83,798 . 42.28% 48.13% 16.10% 0.72% 107.23% All Cities 4,833215,575 238,232175 423,045,113 4,171,906,713 420,580,787 1,531,364,426 8,833,874 40.97% 39.26% 2297% 5.8796 109.07% All Townships 1633,1005550 1,514,006. 6,626,382 1,674,855,905 9,084,726 295,378,788 1,200,494 44.37% 12.45% 17.8396 162% 76.27% Cities and Townships 6516321,125 239,746,181 429,671,495 5,846,762,618 429,665,513 1,826,743,214 10,034,36E 41.95% 31.58% 215096 4.65% 99.68% Average City 5,659503 278,960. 495,369 4,885,137 492,463 1,793,167 10,344 40.97% 39.26% 22.97% 5,87% 109.07% Member Townships Albert Lea Township 760,134 0 0 760,134 0 85.423 0 58.32% 1710% 24.22% 1.38% 101.03% Breitung Township 1,817,948 0 1,787 1,816,161 4,677 751,896 0 59.05% 38.85% 1711% 1.08% 116.09% Empire Township 3,033,043 0 183,515 2.849,528 225,437 496,033 0 27.27% 27.76% 48.44% 3.79% 107.26% Fayal Township 1,940,797 0 25,518 1,915,279 39,575 261,244 0 5953% 26.43% 4.61% 1.08% 91.65% Greenway Township 755,497 0 4,871 750,626 27,073 105,161 0 47.66% 3115% 18.47% 0.42% 97.70% Hassan Township 5,923,230 0 966,145 4,957,085 221.614 2,385,814 0 42.64% 22.88% 3837% 6.77% - 110.67% Nashwauk Township 863,050 . 0 327 862,723 13,308 86,858 0 47.66% 18.26% 16.10% 0.42% 82.45% Rice Lake Township 3,092,724 0 0 3,092,724 0 256,907 0 58.74% 31.04% 22.48% 108% 113.34% Stillwater Township 4,208,911 0 25,620 4,183,291 241,277 91,359 0 27.78% 17.47% 19.73% 5.75% 70.73% Thomson Township 4,046,854 0 0 4,046,854 0 278,810 0 69.03% 31.65% 35.94% 0.15% 136.77% White Township 1,457,161 0 0 1.457,161 39,292 140,105 0 40.49% 55.96% 19.39% 1.08% 116.91% White Bear Township 15.399.607 855,789 1,401,635 13,142,183 1,501,050 3,576,464 0 5025% 175896 21.78% 7.3896 96.99% *Data for cities in Polk and Mower counties is preliminary. III 2 6 M I N N E S O T A CITIES S E P T E M B E R-O C T O B E R 2 0 I 0 2010 MV TAX RATES I I 2010 AID AND LEVY DATA Average Average City Average School Certified Actual Certified Fiscal City Yield oil Levy 2009 County MV MV Tax Rate MV Tao Rate City LGA City LGA City Levy Disp Levy Net Levy After MVHC Population Tao Rate Relmb Cat Oil Waconla 0 0 0.1282% _ 0 0 4,629,320 461.709 4,167,611 4,462,890 10,183 Wadena 0 0 0.2050% 1,349,217 .1,191,075 790,291 0 790,291 716,936 4,161 Wahkon 0 0 0.0297% 11,007 0 200,214 0 200,214 194,436 343 Waite Park 0 0 01160% 228,590 - 0 4,885,669 0 4,885,669 4,733.228 6.747 Waldorf 0 0 0.1983% 43,831 43,831 63,482 0 63.482 59,803 218 Walker 0 0 0.0205% 140,876 79.001 1,014,867 0 1.014,867 981.659 1.178 Walnut Grove 0 0 0.1830% 232,263 232,263 192,002 0 192,002 177.455 675 Walters 0 0 0.2673% 19.753 19,753 18.216 0 18,216 16,914 73 Waltham* 0 0 0.1431% 34,889 34,889 24,481 0 24,481 22.445 187 Wanamingo 0 0 0.1588% 231,821 182.565 431,120 0• 431,120 408,390 1.037 Wanda 0 0 0.2635% 22,955 22655 34,349 0 34,349 32,384 83 Warba 0 - 0 - 0.0180% 12,957 12.957 40,952 4,240 36,712 39,104 178 Warren 0 0 - 0.3857% 630,467 561,156 331,565 0 - 331,565 298.580 1,648 Warroad 0 0 0.1458% 839.653 732,836 711,417 0 711,417 675.560 1,706 Waseca 0 0.0347% 0.0203% 2.744,853 2,273,651 3,280,745 0 3.280,745 3,068,792 9,328 Watertown 0 0.0331% 0.0768% 100,070 0 L596,148 334.394 1261,754 1.521,226 4,129 Waterville 0 0 0.2501% 538.418 438,284 779,591 0 779,591 734,401 1,879 Watkins 0 0 0.1721% 252,584 252,584 483,001 0 483,001 457.780 929 Watson 0 0 0.1496% 61,548 61,548 59,051 0 59,051 54,916 200 Waubun 0 0 0.0456% 93,242 93,242 99,508 0 99,508 92.899 386 Waverly 0 0 01542% 57,206 666 969,995 0 969,995 939,559 1,117 Wayzata 0 0.0145% 0.1637% - 0 0 3,380,081 31,812 3,348,269 3,366,874 4,115 Welcome • 0 0 0.1561% 216.934 216,934 473,212 0 473,212 454.480 658 Wells 0 0 0.2673% 1.012,413 893,883 649,341 0 649,341 592,364 2,434 Wendell 0 0 0.2563% 35,772 35,772 62,967 0 62.967 59.582 170 West Concord 0 0 0.1610% 263,384 263,384 615,734 0 615,734 593,026 804 West St.Paul 0.0050% 0 0.1019% 1,558,714 773,763 9,265,880 1,459,353 7,806,527 8894737 18,947 West Union 0 0 0.1628% 5,713. 5,713 5,750 0 5,750 5.357 - 73 Westbrook 0 0 01828% 236,778 236,778 178,414 0 178,414 164,187 664 Westport 0 0 0.1504% 5,898 5,898 4,725 0 4,725 4,361 65 Whalen 0 0 0.1166% 8,551 -8.551 21,870 0 21,870 20,827 53 Wheaton 0 0 02206% 645,409 562,909 643,245 0 643,245 601,525 1,449 White Bear Lake 0.0001% 0 0.1903% 2,041,462 1,532,448 4.666,000 590,117 4,075,883 4,441,168 24,734 Wilder 0 0 0.3935% 16,726 16,726 24,953 0 24,953 23,524 60 Willernie 0.0031% 0 0.1703% 77,984 77,984 179,000 32.140 146.860 170,189 545 Williams 0 -0 0.1728% 41.672 41,672 60,400 0 60.400 56,900 186 Willmar 0 0 0.1720% 4,673,575 4,052,790. 3,668,826 -0 3,668,826 3,382,794 19,072 Willow River 0 0 0.0619% 47,419 47,419 85,004 0 85,004 80,464 394 Wilmont 0 0 - 0.2642% 89,437 89,437 86,855 0 86,855 80.828 311 Wilton 0 0 0.128036 - 7,670 - 7,670 8,900 0 - 8,900 8,332 201 Windom 0 0 0.3935% 1.421,548 1,202,917 1,564,605 0 1,564.605 L462.235 4,323 Winger* 0 0 0.1829% 34,739 34,739 56,590 0 56,590 53.459 175 0 Winnebago 0 0 0.1561% 578,416 503.310 453,348 0 453,348 417.973 1,371 Winona 0 0 0.3004% 10.430.544 9,162,003 6,169,126 0 6.169.126 5,642,758 27.474 Winsted 0 0 0.1542% 674,623 547,848- 1,088,963 0 1,688,963 1,028,495 2.297 Winthrop 0 0 0.134096 466,737 393.587 531.257 - 0 - 531.257 -`.497,039 1,292 Winton 0 0 0.1500% 25527 25,527 52,000 '5,839 ,46,161 49.342 166 Wolf Lake 0 0 0.0769% 8,078 8,078 '12,500 0 12,500 11,794 46 Wolverton 0 0 0.1652% 25,568 25,568 - - 33,300 0 33,300. 31282 - 119 Wood Lake 0 0 0.1284% 111,785 111,785 119,600 0 119600 111.667 391 Woodbury 0.0031% 0.0236% 0.1885% 0 0 25.449,309 1.977,481 23.471,828 24,653,441 59,338 Woodland 0 0 0.2024% 3.168 0 300,003 0 300,003 299.717 503 Woodstock 0.0700% 0 0.2927% 33,462 33.462 26,400 0 26,400 24,348 100 Worthington 0 0 0.2625% 3,143.998 2705,107 2,674,365 0 2,674,365 2,474,958 11.405 Wrenshall 0 0 0.1646% - 45,598 45.598 105,309 0 105,309. 100,135 373 Wright 0 0 0.0428% 8,382 8,382 24,287 0 24,287 23,167 85 Wykoff 0 0 0.0841% 122,295 122,295 - 144;023 0 144,023 134,892 401 Wyoming 0 0 0.1322% 0 0 3,250,000 0 3,250,000 3,1222,998 7,013 Zemple 0 0 0.0413% 802 802 12,020 0 12,020 11580 72 Zimmerman 0 0 0.1753% 349,011 235,842 1,160,033 0 1,160,033 1.108.292 5.001 Zumbro Falls 0 0 0.1860% 36092 36,092 52,685 0 52.685 49,641 158 Zumbrota 0 0 0.2309% 565,025 426,975 1,279,671 0 1,279,671 1216.421 3,166 All Cities 0.0242% 0.0293% 0.1829% 536.671,457 426,438,012 1,797,180,361 158,532,628 1,638,647.733 1,727,233,402 4,331268 All Townships 0 0 0.1307% 0 0 209,972,632 1427.624 208,545,008 204,995,110 931,234 Cities and Townships 0:0007% 0.0068% 0.1609% 536,671,457 426,438,012 2,007,152,993 159660252 1.847,192,741 1932,228,512 5262,502 Average City 0.0242% 0.0293% 0.182916 628,421. 499,342 2,104,427 185,635 1,918,791 Z022,522 5,072 Member Townships Albert Lea Township 0 0 0.2582% 0 0 129,998 0 129,998 129.998 614 Breitung Township 0 0 0.0400% 0 0 707,530 1,897 705,633 701.240 623 Empire Township 0.0050% 0 0.1562% 0 0 850,012 58.868 791,144 827,102 2,336 Fayal Township 0 0 0.0930% 0 0 517,011 10,898 506,113 499,231 1.765 Greenway Township 0 0 0.1113% 0 0 251978 18,150 233.828 251,978 881 Hassan Township 0 0 0.1701% 0 0 L181,547 47,217 1.134.330 1163.914 2,803 Nashwauk Township 0 0 0.1324% 0 0 161254 3,762 157,492 161,254 701 Rice Lake Township 0 0 0.0932% 0 0 959,966 0 959.966 924,178 4,294 Stillwater Township 0.0031% 0 0.1203% 0 0 769,000 38.279 730,721 758,695 2.601 Thomson Township 0 0 0.0548% 0 0 1,280,870 0 1280.870 1238.402 4,943 White Township 0 0 0.0274% 0 0 850,307 29,862 820,445 835,337 1,484 White Bear Township 0 0.0049% 0.1907% 0 0 2,565,033 254,068 2,310,965 2,468,010 11,730 • SEPTEMBER-OCTOBER 2010 MINNESOTA CITIES - 27 SPECIAL SUPPLEMENT TO MINNESOTA CITIES, SEPTEMBER-OCTOBER 2010 • i 2010 PROPERTY TAX DATA This insert supplements the annual property tax report published in this issue of Minnesota Cities magazine. The insert includes a comparative data table that allows 1 you to compare tax and other data from your city with similar groups of cities. Again this year, data on tax capacities and market values by property type can be found in a separate table on the League of Minnesota Cities (LMC) website at www.linc.org/page/l/property-tax-reports. jsp.You will also find the online versions of the 2010 Property Tax Report and the 2010 Property Tax Data Table on the League website. In addition,several other property tax documents are available at www.hnc.org/ page/l/property-tax-state-funding-fiscal-issues. jsp.These include Property Taxation 101, Property IIII Tax Statement 101,Fiscal Disparities 101, State Homeowner Property Tax Relief Programs 101, and Market Value Homestead Credit 101. Another helpful x online tool is the Property Tax Calculator and a glossary of terms for the calculator,which you can find at www. hnc.org/page/1/glossary-prop-tax-calc.jsp. If you have questions or suggestions about other information you would like highlighted in future reports, contact Policy Analysis Manager Rachel Walker at *� rwalker@lmc.org or(651) 281-1236,or Policy Analyst 1 , * Lena Gould at lgould@lmc.org or (651) 281-1245. x g F I i 1 F K { , r q t�', '. �a-T _ w -,fir ,.. ; 4 ..:+-.. ,j,A. . uw x t.. .list. .s ` .-� �:u., - e .`16C-.. ia.:','' a8s:`:.i4J� t a',J,,, i:':.. TABLE S - 1 : C 0 M P A @d I 2010 TAX BASE DATA I I 2010 NET TAX CAPACITY RATES I l 4 Total Tax Captured TIF I Dim Taxable TaxContrib Tax Fiscal Disp Total State JOBZ/BIO Average Average Average Average Average Distrib Tax Tax Capacity County City ecial Total NTC Capacity Tax Capacity Capacity Capacity Capacity (cabin&c/I) Tax Capacity Tax Rate Rate Tax Tax Rate TaxSchool RateRate Rate Capacity All Cities 4,833,215.575 238,232,175 423,045,113 4,171,906,713 420,580,787 1,531,364,426 8,833,874 40.97% 39.26% 22.97% 5.87% 109.07% E All Townships 1,683,105,550 1,514,006 6,626,382 1,674,855,905 9,084,726 295,378,788 1,200,494 44.37% 12.45% 17.83% 1.62% 76.27% 411:0 Cities and Townships 6,516,321,125 239,746,181 429,671,495 5,846,762,618 429,665,513 1,826,743,214 10,034,368 41.95% 31.58% 21.50% 4.65% 99.68% Average City 5,659,503 278,960 495,369 4,885,137 492,483 1,793,167 10,344 40.97% 39.26% 22.97% 5.87% 109.07% City Averages by Region Reg on 2 376,008 10,571 0 365,437 0 115,814 720 50.65% 73.23% 13.31% 6.39% 143.58% i Region 2 760,543 35,490 0 725,052 0 364,839 3,081 51.36% 52.71% 22.54% 3.79% 130.40% 1 Region 3 2,220,576 49,906 53,849 2,116,728 59,584 706,404 3,430 47.86% 67.19% 15.98% 1.89% 132.92% Region 4 1,059,587 49,535 0 1,010,053 0 378,905 11,918 43.35% 57.49% 14.26% 2.99% 118.08% Region 5 1,524,943 46,011 3,461 1,475,471 2,797 737,199 7,809 41.59% 45.17% 16.52% 0.56% 103.83% Region 6E 1,169,557 23,984 0 1,145,572 0 358,853 15,164 48.60% 76.83% 12.40% 1.39% 139.21% 1 0 Region 6W 358,725 4,963 0 353,762 0 136,429 5,877 43.53% 8023% 10.84% 2.10% 136.70% 1 Region 7E 1,649,846 57,775 0 1,591,945 0 483,254 11,754 55.34% 42.15% 21.71% 0.95% 120.14% Region 7W 4,872,654 190,076 1,018 4,681,532 2,491 1,589,645 16,716 45.70% 44.48% 25.07% 1.42%18 - 116.66% Region 8 505,955 28,269 0 477,685 0 169,778 17,462 38.96% 83.93% 12. % 0.75% 135.82% Region 9 1,533,185 56,740 0 1,476,445 0 499,813 17,507 44.98% 78.55% 12.58% 0.44% 136.56% Region 10 3,008,078 79,650 0 2,928,428 0 927,646 21,742 46.14% 58.37% 19.32% 0.67% 124.49% Region 11 25,848,008 1,417,450 2,993,621 21,436,803 2,972,968 8,025,043 0 36.81% 36.03% 24.00% 6.45% 103.29% City Averages by Population Size Greater MN,Under 500 122,489 1,742 366 120,381 551 37,139 1,321 45.29% 63.00% 14.44% 2.03% 124.77% Greater MN,5000.2,499 821,598 30,375 4,329 786,887 5,390 273,942 7,616 45.49% 72.88% 15.51% 1.44% 135.33% Greater MN,2500-4,999 2,604,581 106,902 12,363 2,485,235 20,666 745,455 21,423 46.89% 54.38% 19.83% 1.15% 122.24% Greater MN,5,000-9,999 5,511,777 209,461 14,299 5,288,018 18,063 1,974,453 31,209 48.07% 51.85% 23.20% 1.48% 124.60% Greater MN,10,000-24,999 12,141,626 437,738 58,653 11,645,010 40,832 4,007.584 101,340 4527% 43.59% 24.99% 2.52% 116.38% Greater MN,25,000+ 46,123,857 1,046,517 0 45,077,340 0 16,653,524 222,668 49.65% 37.03% 19.61% 2.10% 108.38% 1 0 Metro,Under2,500 1,708,749 49,630 113,323 1,545,796 146,975 304,223 0 34.99% 35.62% 2157% 5.87% 98.05% 1 Metro,2,500-4,999 7,014,005 147,683 515,778 6,350,263 444,821 1,286,206 0 35.76% 32.68% 25.09% 5.80% 99.33% Metro,5,0003,999 10,859,086 487,631 619,307 9,751,976 837,846 1,674,407 0 38.25% 38.25% 25.82% 6.55% 108.87% Metro,10,000-24,999 20,751,287 1,480,130 2,101,012 17,170,005 2,760,866 5,665,692 0 37.88% 36.93% 24.81% 6.74% 106.34% Metro,25,00049,999 45,701,554 2,359,968 5,257,181 38,084,405 5,067,940 14,449,878 0 37.93% 36.66% 24.88% 7.05% 106.52% Metro,50,00039,999 92,656,328 3.305,109 13,387,735 75,963,018 8.617,040 32,892,995 0 36.39% 33.47% 23.94% 7.44% 101.24% IIIMetro,100,000+ 367,318,891 30,567,122 42,770,815 293,980,955 58,481,881 130,128,285 0 44.22% 47.41% 2428% 821% 124.13% *Data for cities in Poll<and Mower counties is preliminary. UNTIES BY REGION COMPARATIVE DATA TABLE Table S-i follows the layout of the tax information contained in the 2010 Property Tax Data Table. _�1 Table S-1 contains averages for subgroups of cities by region and population size.The table allows you w to compare the information for your city from the 210111.. 2010 Property Tax Data Table with averages of cities 1111111 from the same geographic region or population size III III category.The column at the end of Tables S-1 shows 1/111.='51111710 the number of cities in each category. JU� r 7E 1,�fiW `e WA11.16.E Pi INr L9 riam ATIVE DATA G f -2010 MV TAX RATES I I 2010 AID AND LEVY DATA I411) 'pp Average Average Yield on Le q County MV Average City School MV Certified ' Actual City Certified fiscal Disp City Net Levy MV Tax Rate LGA LGA City Levy Levy Levy Aker MVHC o20 Number Tax Rate Tax Rate Reimb Cut Population of Cities 0.024% 0.0293% 0.1829% 536,671,457 426,438,012 1,797,180,361 158,532,628 1,638,647,733 1,727,233,402 4,331,268 854 0.000% 0.0002% 0.1307% 0 0 209,972,632 1,427,624 208,545.008 204,935,110 931,234 0.001% 0.0068% 0.1609% 536,671,457 426,438,012 2,007,152,993 159,960,252 1847,192,741 1,932,228,512 5,262,502 yyy 0.024% 0.0293% 0.1829% 628,421 499,342 2,104,427 185,635 1918,791 2,022,522 5,072 0 0 0.2854% 304,289 272,789 223,252 0 223.252 206,080 877 56 O 0 0.0782% 274,015 234,306 355,337 0 355,337 336,003 1,121 22 0 0.0498% 0.0835% 1,086,024 952,570 890.016 43,115 890,016 875,773 3.024 68 O 0.0238% 02270% 359,280 308,928 429,430 0 429,430 402,712 1,486 83 i O 0.0138% 0.1171% 232,197 203,087 518,266 2,517 518,266 496,845 1,136 64 i 0 0 02036% 447,531 382,011 640,453 0 640.453 603,517 1,823 40 1 0 0.1052% 0.2275% 273,213 240,987 283,766 0 283,766 265,468 766 37 0.0186% 0.0195% 0.0818% 232,619 173,680 715,263 0 715,263 683,173 1,918 39 0 0.0367% 01365% 524,634 385,533 1,892,039 1,021 1,892,039 1,806,765 5,053 54 0.0700% 0.0179% 0.2981% 306,935 272,194 317.539 0 317.539 296,250 1,002 79 0 0.0413% 0.1856% 650,036 556,016 765,791 0 765.791 718,546 2,274 71 0.0050% 0.0593% 0.1872% 700,915 560,328 1,348,449 0 1,348,449 1.279,256 3,654 101 0.0041% 0.0184% 0.1613% 1,346,194 951,649 7,908,304 1,109,890 7,908,304 8,726,627 19,980 140 0.0443% 0 0.1975% 42,006 41,766 68,246 443 68,246 64,923 208 359 0.0443% 0.0900% 0.1851% 329,546 292,902 434,860 4,381 434,860 414,184 1,121 230 0.0443% 0.0470% 0.1390% 860.054 719,525 1214,087 13,811 1214,087 1,159,098 3,367 61 i 0 0.0323% 0.1238% 1,389.493 1,135,959 2,591,598 12,492 2,591,598 2,469148 6,815 29 0.0050% 0.0168% 0.1391% 2,888.974 2,359,180 4,994,293 27,741 4,994,293 4,750,853 14.850 28 O 0.0710% 0.1192% 11,954,145 9,707,845 16,844,471 0 16,844,471 15,943,109 54,679 7 0.0041% 0 0.1527% 102,624 70,547 443,618 63,869 443,618 495,058 984 40 0.0031% 0.0269% 0.1567% 119,598 68,771 1,707,411 149,180 1,707,411 1,810,771 3,854 18 0.0031% 0.0102% 0.1556% 142,692 53,884 3,073,173 311,489 3,073,173 3,298,426 6,932 21 - a 0.0041% 0.0210% 0.1719% 597,882 341,801 6,272,857 976,463 6,272.857 6,976,494 17,938 32 0.0041% 0.0170% 0.1778% 371,988 159,276 13,080,976 1,777,518 13,080,976 14,311,411 34,857 15 ; 0.0041% 0.0144% 0.1749% 34,103 18,750 24,989,715 2,741,629 24,989,715 26,811,311 64,321 12 1111110 0.0253% 0.1504% 77,045,784 57,243,878 148,662,575 26,397,062 148.662,575 170,204,963 337,096 2 1 1 STATE TOTALS The first line in Table S-1 contains totals and averages for the 854 cities in the state as a group. The second line shows totals and averages for all 1,785 townships and all 155 unincorporated areas in the state as a group. The third line contains statewide totals and averages, including data from cities, townships, and unincorporated areas.The fourth line contains data representing the average Minnesota city-in other words, the totals for all cities divided by 854. REGIONAL TOTALS The second section contains averages by economic development region. There are 13 economic development regions. The data for each region represent the average city;that is, totals for that region divided by the number of cities in that region. POPULATION GROUP TOTALS The third section contains averages by population size category. There are 13 population size categories; six categories are for Greater Minnesota cities and seven are for metro area cities. The data for each size category represent the average city; that is, totals for that category divided 41110 by the number of cities in that category, r .r txx9a *r--.., ,-t as ;3' t :ems'- .., CITY REVENUES DECLINING . sx S T3"fib �y}Gra a C y4! The chart below shows the composition of total city revenues actions will exceed $250 million.As the main 2010 , 1� over the last several decades.The steady decline in total property tax report described,overall city property ;g per capita city revenues since 2000 and the decrease in values declined in 2010 for the first time since the P... .44 intergovernmental revenues (largely state aids and credits) League started doingthe annualpropertytax analysis g ( gY : Y 4 since a peak in 1980 are particularly dramatic. in the early 1990s. A recent analysis by the Humphrey Institute at the Over the last couple of years,growth in market value University of Minnesota revealed that cities overall will of residential property has slowed and finally turned *1 have a deficit of 35 percent of revenues by 2025 if no negative as a result of the foreclosure crisis and d i policy changes are enacted and current revenue and bursting of the housing bubble. Now that trend in expenditure trends continue. For many cities across residential property values is driving down overalls , the state,however,the crisis has arrived and providing market value. local services has become extremely difficult given their fag financial environment. That environment is characterized This means that just as cities are seeing more frequent „,i reductions to LGA and the MVHC reimbursement, sue;' by frequent cuts to local government aid (LGA) and toP $>e market value homestead credit (MVHC) reimbursements their property tax bases are shrinking.That fact, � # fc' combined with growing resistance to the property 4;16 and declining viability of the property tax as a stable ors` source of revenue. tax amid an extremely slow economic recovery and high unemployment,means that it is increasingly From December 2008 through 2010,total losses of city difficult for cities to go to the property tax to fund aids and credits as a result of unallotment and legislative local services. City Revenue Sources 1970-2008 (constant 2008 dollars) 1600 1400 1200 m ' 1000 a 800 ® ® ® 600- it ® ® al al ® ■ 200 0 1970 1975 1980 1985 1990 1995 2000 2005 2006 2007 2008 ❑Other own source III Taxes Intergovernmental revenues Source:Office of the State Auditor and Bureau of Economic Analysis(inflation adjuster) m 145 UNIVERSITY AVENUE WEST, Sr PAUL, MN 55103-2044 PHONE: (651)281-1200 • FAX: (651)281-1299 • TDD: (651) 281-1290 *AGUE OF WWW.LMC.ORG MINNESOTA CITIES