Household Income in Block Group 971200-2, Columbia County, Wisconsin (Block Group)

Household Income Percentiles#1

Scope: households in Columbia County and Block Group 971200-2
Block Group 971200-2
Columbia County
$0k$10k$20k$30k$40k$50k$60k%Median$56,250.000000$61,004.000000$56,250.000000$56.3k100.000%100%

Relative Household Income Percentiles#2

Selected measures of household income in Block Group 971200-2, as a percentage more or less than Columbia County at large.
Scope: households in Columbia County and Block Group 971200-2
7%6%5%4%3%2%1%0%$ref.Median-7.792932%-7.792932%7.8%$56,250.000000$56.3k$61,004.000000$61.0k

Household Income Distribution#3

Normalized with respect to a standard interval of $5k. Gray areas represent percentile bands from the block groups in Columbia County.
Scope: households in Columbia County, Block Group 971200-2, and other block groups in Columbia County
Block Group 971200-2
Columbia County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%2%4%6%8%Count%> $200k1$150-200k2$125-150k2$100-125k2$75-100k2$60-75k2$50-60k2$45-50k$40-45k$35-40k$30-35k$25-30k$20-25k$15-20k$10-15k< $10k2142.496%2.50%203.565%3.57%142.496%2.50%203.565%3.57%6511.586%11.6%12221.747%21.7%8214.617%14.6%356.239%6.24%173.030%3.03%519.091%9.09%00.000%0%498.734%8.73%122.139%2.14%122.139%2.14%00.000%0%488.556%8.56%

Median Household Income by Race#4

Scope: households in Columbia County and Block Group 971200-2
Block Group 971200-2
Columbia County
$0k$10k$20k$30k$40k$50k$60k%All1$56,250.000000$61,004.000000$56,250.000000$56.3k100.000000%100%

Household Income by Block Group in Columbia County

There are 44 block groups in Columbia County. This section compares Block Group 971200-2 to all of the block groups in Columbia County and to those entities that contain or substantially overlap with Block Group 971200-2.

Median Household Income by Block Group#5

Scope: households in Block Group 971200-2, selected other block groups in Columbia County, and entities that contain Block Group 971200-2
$0k$20k$40k$60k$80k%#970900-3B.G. 970900-3970700-3B.G. 970700-3970800-4B.G. 970800-4970800-3B.G. 970800-3971000-2B.G. 971000-2970600-1B.G. 970600-1970900-2B.G. 970900-2970900-1B.G. 970900-1970800-1B.G. 970800-1971200-3B.G. 971200-3971000-3B.G. 971000-3970700-2B.G. 970700-2971200-4B.G. 971200-4970600-2B.G. 970600-2970200-2B.G. 970200-2Columbus School DistrictColumbus970200-1B.G. 970200-1ZIP Code 53925ZIP 53925970200-4B.G. 970200-4971100-2B.G. 971100-2Madison Metro AreaMadison Area970100-2B.G. 970100-2970700-4B.G. 970700-4971100-1B.G. 971100-1971000-1B.G. 971000-1970500-2B.G. 970500-2Columbia CountyColumbia970100-1B.G. 970100-1971000-4B.G. 971000-4971200Tract 971200970700-1B.G. 970700-1970600-3B.G. 970600-3971200-2B.G. 971200-2970100-3B.G. 970100-3United States of AmericaUnited States970100-4B.G. 970100-4970400-4B.G. 970400-4970300-2B.G. 970300-2WisconsinMidwestEast North Central970500-3B.G. 970500-3970200-3B.G. 970200-3970800-2B.G. 970800-2971200-1B.G. 971200-1970300-1B.G. 970300-1970400-3B.G. 970400-3970400-5B.G. 970400-5970300-3B.G. 970300-3970400-1B.G. 970400-1970500-4B.G. 970500-4970400-2B.G. 970400-2970500-1B.G. 970500-1$87,740.000000$87,740.000000$87.7k+55.982%+56.0%1$83,875.000000$83,875.000000$83.9k+49.111%+49.1%2$81,875.000000$81,875.000000$81.9k+45.556%+45.6%3$81,250.000000$81,250.000000$81.3k+44.444%+44.4%4$80,481.000000$80,481.000000$80.5k+43.077%+43.1%5$80,294.000000$80,294.000000$80.3k+42.745%+42.7%6$78,281.000000$78,281.000000$78.3k+39.166%+39.2%7$75,469.000000$75,469.000000$75.5k+34.167%+34.2%8$72,203.000000$72,203.000000$72.2k+28.361%+28.4%9$71,932.000000$71,932.000000$71.9k+27.879%+27.9%10$68,438.000000$68,438.000000$68.4k+21.668%+21.7%11$68,375.000000$68,375.000000$68.4k+21.556%+21.6%12$68,242.000000$68,242.000000$68.2k+21.319%+21.3%13$68,080.000000$68,080.000000$68.1k+21.031%+21.0%14$67,083.000000$67,083.000000$67.1k+19.259%+19.3%15$66,602.000000$66,602.000000$66.6k+18.404%+18.4%$65,694.000000$65,694.000000$65.7k+16.789%+16.8%16$65,109.000000$65,109.000000$65.1k+15.749%+15.7%$65,000.000000$65,000.000000$65.0k+15.556%+15.6%17$63,984.000000$63,984.000000$64.0k+13.749%+13.7%18$63,642.000000$63,642.000000$63.6k+13.141%+13.1%$62,841.000000$62,841.000000$62.8k+11.717%+11.7%19$62,788.000000$62,788.000000$62.8k+11.623%+11.6%20$62,353.000000$62,353.000000$62.4k+10.850%+10.8%21$61,953.000000$61,953.000000$62.0k+10.139%+10.1%22$61,036.000000$61,036.000000$61.0k+8.508%+8.51%23$61,004.000000$61,004.000000$61.0k+8.452%+8.45%$60,781.000000$60,781.000000$60.8k+8.055%+8.06%24$60,673.000000$60,673.000000$60.7k+7.863%+7.86%25$59,362.000000$59,362.000000$59.4k+5.532%+5.53%$57,813.000000$57,813.000000$57.8k+2.779%+2.78%26$56,406.000000$56,406.000000$56.4k+0.277%+0.28%27$56,250.000000$56,250.000000$56.3k+0.000%0%28$56,172.000000$56,172.000000$56.2k-0.139%-0.14%29$55,322.000000$55,322.000000$55.3k-1.650%-1.65%$55,313.000000$55,313.000000$55.3k-1.666%-1.67%30$54,886.000000$54,886.000000$54.9k-2.425%-2.42%31$54,856.000000$54,856.000000$54.9k-2.478%-2.48%32$54,610.000000$54,610.000000$54.6k-2.916%-2.92%$53,593.000000$53,593.000000$53.6k-4.724%-4.72%$52,978.000000$52,978.000000$53.0k-5.817%-5.82%$52,500.000000$52,500.000000$52.5k-6.667%-6.67%33$52,411.000000$52,411.000000$52.4k-6.825%-6.82%34$48,819.000000$48,819.000000$48.8k-13.211%-13.2%35$48,345.000000$48,345.000000$48.3k-14.053%-14.1%36$47,625.000000$47,625.000000$47.6k-15.333%-15.3%37$47,480.000000$47,480.000000$47.5k-15.591%-15.6%38$40,481.000000$40,481.000000$40.5k-28.034%-28.0%39$38,438.000000$38,438.000000$38.4k-31.666%-31.7%40$37,955.000000$37,955.000000$38.0k-32.524%-32.5%41$35,734.000000$35,734.000000$35.7k-36.473%-36.5%42$31,939.000000$31,939.000000$31.9k-43.220%-43.2%43$27,750.000000$27,750.000000$27.8k-50.667%-50.7%44

Six-Figure Incomes by Block Group#6

Percentage of households with incomes above $100k.
Scope: households in Block Group 971200-2, selected other block groups in Columbia County, and entities that contain Block Group 971200-2
< $25k
$25-50k
$50-100k
$100-200k
$200k+
100%50%0%Count#970800-4B.G. 970800-4970900-3B.G. 970900-3970700-3B.G. 970700-3970800-3B.G. 970800-3970600-1B.G. 970600-1971200-4B.G. 971200-4970900-2B.G. 970900-2970200-1B.G. 970200-1971000-2B.G. 971000-2Madison Metro AreaMadison Area970900-1B.G. 970900-1971000-3B.G. 971000-3971200-3B.G. 971200-3970600-2B.G. 970600-2970200-2B.G. 970200-2970700-2B.G. 970700-2970800-1B.G. 970800-1United States of AmericaUnited States971100-1B.G. 971100-1970400-4B.G. 970400-4971100-2B.G. 971100-2970500-2B.G. 970500-2Columbus School DistrictColumbus970200-4B.G. 970200-4ZIP Code 53925ZIP 53925MidwestColumbia CountyColumbiaEast North Central970700-4B.G. 970700-4Wisconsin971200Tract 971200970300-2B.G. 970300-2970100-2B.G. 970100-2970100-1B.G. 970100-1970300-1B.G. 970300-1970600-3B.G. 970600-3970800-2B.G. 970800-2971000-4B.G. 971000-4970500-3B.G. 970500-3970400-2B.G. 970400-2970100-4B.G. 970100-4970700-1B.G. 970700-1970100-3B.G. 970100-3970400-5B.G. 970400-5970400-3B.G. 970400-3970200-3B.G. 970200-3971000-1B.G. 971000-1971200-2B.G. 971200-2970300-3B.G. 970300-3971200-1B.G. 971200-1970400-1B.G. 970400-1970500-1B.G. 970500-1970500-4B.G. 970500-4-32.978723%-11.702128%-11.276596%-55.957447%56%31.702128%12.340426%44.042553%44%2071-27.663551%-19.439252%-9.158879%-56.261682%56%32.149533%11.588785%43.738318%44%2342-40.547945%-13.972603%-4.657534%-59.178082%59%29.041096%11.780822%40.821918%41%1493-37.406484%-17.955112%-6.234414%-61.596010%62%29.177057%9.226933%38.403990%38%1544-41.218638%-20.967742%-6.630824%-68.817204%69%26.881720%4.301075%31.182796%31%1745-36.781609%-15.402299%-16.781609%-68.965517%69%22.528736%8.505747%31.034483%31%1356-44.768856%-16.301703%-9.245742%-70.316302%70%27.372263%2.311436%29.683698%30%2447-34.769231%-20.000000%-16.307692%-71.076923%71%24.307692%4.615385%28.923077%29%948-40.527578%-22.541966%-8.153477%-71.223022%71%22.541966%6.235012%28.776978%29%1209-33.075992%-22.055770%-17.081478%-72.213240%72%22.330863%5.455897%27.786760%28%72,52472.5k-45.342707%-20.035149%-7.205624%-72.583480%73%25.483304%1.933216%27.416520%27%15610-51.226994%-14.723926%-6.748466%-72.699387%73%26.073620%1.226994%27.300613%27%8911-42.049470%-19.199058%-11.778563%-73.027091%73%22.025913%4.946996%26.972909%27%22912-39.609484%-24.128312%-10.599721%-74.337517%74%23.291492%2.370990%25.662483%26%18413-43.837754%-19.812793%-10.920437%-74.570983%75%23.868955%1.560062%25.429017%25%16314-35.008977%-12.746858%-27.289048%-75.044883%75%23.339318%1.615799%24.955117%25%13915-56.029412%-9.558824%-9.558824%-75.147059%75%20.882353%3.970588%24.852941%25%16916-29.966666%-23.121086%-22.339882%-75.427634%75%18.905615%5.666751%24.572366%25%28,925,66528.9M-38.196721%-21.311475%-16.229508%-75.737705%76%21.639344%2.622951%24.262295%24%14817-38.162544%-10.954064%-26.855124%-75.971731%76%14.840989%9.187279%24.028269%24%6818-40.422721%-23.381770%-12.549538%-76.354029%76%21.928666%1.717305%23.645971%24%17919-31.960461%-24.382208%-20.263591%-76.606260%77%22.075783%1.317957%23.393740%23%14220-42.835504%-20.327174%-13.511057%-76.673735%77%18.509543%4.816722%23.326265%23%770-42.586751%-22.555205%-11.829653%-76.971609%77%23.028391%0.000000%23.028391%23%14621-42.153564%-21.321505%-13.949220%-77.424289%77%17.405935%5.169777%22.575711%23%738-31.411728%-24.244948%-22.410939%-78.067616%78%17.679798%4.252586%21.932384%22%5,775,7825.78M-37.925192%-23.919371%-16.299579%-78.144142%78%18.888744%2.967114%21.855858%22%5,031-31.037441%-24.231391%-22.936945%-78.205777%78%17.522445%4.271778%21.794223%22%3,942,1483.94M-41.828794%-28.015564%-8.754864%-78.599222%79%21.400778%0.000000%21.400778%21%11022-33.158027%-24.569721%-21.069185%-78.796933%79%17.632495%3.570572%21.203067%21%489,843490k-40.082079%-23.711810%-15.047880%-78.841769%79%16.233470%4.924761%21.158231%21%464-36.752137%-30.427350%-12.649573%-79.829060%80%17.777778%2.393162%20.170940%20%11823-37.881874%-23.828921%-18.126273%-79.837067%80%18.126273%2.036660%20.162933%20%9924-42.209632%-21.813031%-16.147309%-80.169972%80%17.563739%2.266289%19.830028%20%7025-29.853181%-32.463295%-19.086460%-81.402936%81%16.802610%1.794454%18.597064%19%11426-38.859416%-27.718833%-14.854111%-81.432361%81%17.506631%1.061008%18.567639%19%14027-30.489335%-32.747804%-18.318695%-81.555834%82%16.813049%1.631117%18.444166%18%14728-42.377261%-27.390181%-12.919897%-82.687339%83%13.436693%3.875969%17.312661%17%6729-35.159011%-35.512367%-12.897527%-83.568905%84%16.431095%0.000000%16.431095%16%9330-26.252983%-21.957041%-35.560859%-83.770883%84%16.229117%0.000000%16.229117%16%6831-42.178771%-24.022346%-18.156425%-84.357542%84%15.363128%0.279330%15.642458%16%5632-41.860465%-27.906977%-15.614618%-85.382060%85%14.617940%0.000000%14.617940%15%4433-39.365079%-25.714286%-20.317460%-85.396825%85%13.650794%0.952381%14.603175%15%4634-27.178423%-25.933610%-32.780083%-85.892116%86%11.203320%2.904564%14.107884%14%6835-31.250000%-43.750000%-11.111111%-86.111111%86%13.888889%0.000000%13.888889%14%6036-40.277778%-27.916667%-18.333333%-86.527778%87%12.916667%0.555556%13.472222%13%9737-47.346072%-21.656051%-17.622081%-86.624204%87%12.101911%1.273885%13.375796%13%6338-47.950089%-27.094474%-12.834225%-87.878788%88%9.625668%2.495544%12.121212%12%6839-31.918819%-28.044280%-28.597786%-88.560886%89%5.904059%5.535055%11.439114%11%6240-26.724138%-39.655172%-24.425287%-90.804598%91%4.885057%4.310345%9.195402%9%3241-28.035320%-25.827815%-37.527594%-91.390728%91%7.174393%1.434879%8.609272%9%7842-28.030303%-22.348485%-46.590909%-96.969697%97%3.030303%0.000000%3.030303%3%843-19.503546%-60.283688%-20.212766%-100.000000%100%0.000000%0.000000%0.000000%0%044

Definitions

  • Household Income: total income from all people in the household
  • Median: in terms of income, it is the income for which 50% of households have a lower income, and 50% have a higher income
  • Percentile: for example, the 80th percentile of household income is the income for which 80% of household have a lower income and 20% have a higher income
  • Quintile: a quintile is 20% of a population, grouped by percentile; for example, the 2nd quintile is all members of a population between the 20th and 40th percentiles
  • Gini Index: a statistical measure of how unevenly income is distributed in a population (ranging from 0% to 100%, the higher the number, the greater the inequality)

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