Sectors in Christiana, Elkhart, Indiana (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Elkhart and Christiana
Christiana
Elkhart
0%20%40%60%80%CountPrivateNon-ProfitLocal GovernmentSole Proprietor1State GovernmentSelf-Employed2Federal GovernmentUnpaid Family84.447340%83.127213%84.447340%84.4%1618.214339%6.592800%8.214339%8.2%15164.297538%4.064181%4.297538%4.3%81.172323%1.986116%1.172323%1.2%21.071532%1.627511%1.071532%1.1%20.796927%1.448209%0.796927%0.8%120.000000%0.000000%0.0%0.864328%00.000000%0.000000%0.0%0.289642%0

Relative Workers by Sector#2

Percentage more or less common in Christiana than in Elkhart, among the civilian employed population aged 16 and older.
Scope: population of Elkhart and Christiana
Less Common
More Common
100%50%0%%ref.Non-ProfitLocal GovernmentPrivateState GovernmentSole Proprietor1Self-Employed2Federal GovernmentUnpaid Family24.595603%24.595603%24.6%8.214%8.21%6.593%6.59%5.741799%5.741799%5.7%4.298%4.30%4.064%4.06%1.588082%1.588082%1.6%84.447%84.4%83.127%83.1%-34.161299%-34.161299%34.2%1.072%1.07%1.628%1.63%-40.974075%-40.974075%41.0%1.172%1.17%1.986%1.99%-44.971579%-44.971579%45.0%0.797%0.80%1.448%1.45%-100.000000%-100.000000%100.0%0.000%0%0.864%0.86%-100.000000%-100.000000%100.0%0.000%0%0.290%0.29%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Elkhart and Christiana
Christiana
Elkhart
0%20%40%60%PartFullSelf-Employed1Non-ProfitAll SectorsPrivateLocal GovernmentState GovernmentSole Proprietor267.895761%37.777778%67.895761%67.9%1038.539507%44.979079%38.539507%38.5%691030.335080%33.046756%30.335080%30.3%575813329.809667%31.126597%29.809667%29.8%4811327.006571%33.371041%27.006571%27.0%25617.647059%38.418079%17.647059%17.6%0128.961027%75.462963%8.961027%9.0%02

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Elkhart and Christiana
Christiana
Elkhart
$0k$20k$40k%CountSole Proprietor1Local GovernmentNon-ProfitAll SectorsState GovernmentPrivate$51,094.000000$27,188.000000$51,094.000000$51.1k1.172%1.17%2$44,126.304036$41,761.000000$44,126.304036$44.1k4.298%4.30%8$36,414.182101$31,452.000000$36,414.182101$36.4k8.214%8.21%1516$33,743.886916$31,815.000000$33,743.886916$33.7k100.000%100%191$33,571.000000$34,052.000000$33,571.000000$33.6k1.072%1.07%2$33,156.287839$31,473.000000$33,156.287839$33.2k84.447%84.4%161

Sectors by Neighborhood in Elkhart

There are 43 neighborhoods in Elkhart. This section compares Christiana to all of the neighborhoods in Elkhart and to those entities that contain or substantially overlap with Christiana.

Private Sector by Neighborhood#5

Percentage of the civilian employed population aged 16 and older.
Scope: population of Christiana, selected other neighborhoods in Elkhart, and entities that contain Christiana
0%20%40%60%80%Count#Pleasant-Prairie NeighborhoodPleasant-PrairiePulaski NeighborhoodPulaskiWillowdale NeighborhoodWillowdaleNorthside NeighborhoodNorthsideWoodlawn NeighborhoodWoodlawnSterling South NeighborhoodSterling SBaker Park NeighborhoodBaker ParkGoshen Avenue NeighborhoodGoshen AvenueTipton Area NeighborhoodTipton AreaHudson-Sterling NeighborhoodHudson-SterlingMiddlebury South NeighborhoodMiddlebury SChristiana NeighborhoodChristianaGrant NeighborhoodGrantBeardsley NeighborhoodBeardsleyElkhartDowntown NeighborhoodDowntownHistoric Roosevelt NeighborhoodHist RooseveltMcNaughton NeighborhoodMcNaughtonLexington River Bend NeighborhoodLexington Riv BendHayden NeighborhoodHaydenBower NeighborhoodBowerStrong NeighborhoodStrongRiverside NeighborhoodRiversideRainbow NeighborhoodRainbowLexington Landing NeighborhoodLexington LndgJohn Weaver NeighborhoodJohn WeaverElkhart Community SchoolsElkhartZIP Code 46514ZIP 46514Indiana NeighborhoodIndianaMiles NeighborhoodMilesRivercreek NeighborhoodRivercreekEvergreen NeighborhoodEvergreenGlenwood Park NeighborhoodGlenwood ParkConns Pond NeighborhoodConns PondImpact NeighborhoodImpactBent Oak NeighborhoodBent OakSouthdale NeighborhoodSouthdalePierre Moran NeighborhoodPierre MoranSouth Benham NeighborhoodSouth BenhamRiverview NeighborhoodRiverviewState-Division NeighborhoodState-DivisionMarine NeighborhoodMarineEast Jackson NeighborhoodEast JacksonElkhart and Goshen Metro AreaElkhart AreaElkhart CountyElkhartWest Lusher NeighborhoodWest LusherIndianaGreenleaf Manor NeighborhoodGreenleaf MnrEast Lake NeighborhoodEast LakeEast North CentralMidwestUnited States of AmericaUnited States87.506645%87.506645%87.5%591187.038433%87.038433%87.0%105287.038433%87.038433%87.0%187188587.038433%87.038433%87.0%477387.038433%87.038433%87.0%231232486.500642%86.500642%86.5%178179685.921986%85.921986%85.9%186785.921986%85.921986%85.9%179985.921986%85.921986%85.9%5841085.921986%85.921986%85.9%185186885.862832%85.862832%85.9%2782791184.447340%84.447340%84.4%1611283.847054%83.847054%83.8%2682691383.847054%83.847054%83.8%2492501483.127213%83.127213%83.1%18,08118.1k82.927787%82.927787%82.9%1,7201,7211581.883577%81.883577%81.9%6611680.835010%80.835010%80.8%1951962080.835010%80.835010%80.8%1511522180.835010%80.835010%80.8%1052280.835010%80.835010%80.8%6096101780.835010%80.835010%80.8%2172181880.835010%80.835010%80.8%1971980.684482%80.684482%80.7%172480.684482%80.684482%80.7%202380.679428%80.679428%80.7%3892580.617540%80.617540%80.6%27,96328.0k80.466238%80.466238%80.5%16,01616.0k80.024435%80.024435%80.0%6092679.902462%79.902462%79.9%73742779.623341%79.623341%79.6%2542552979.623341%79.623341%79.6%4862879.623341%79.623341%79.6%693079.623341%79.623341%79.6%633179.173606%79.173606%79.2%7223278.881650%78.881650%78.9%2343478.881650%78.881650%78.9%5533378.881650%78.881650%78.9%803578.876251%78.876251%78.9%2753677.713987%77.713987%77.7%3453877.713987%77.713987%77.7%1213977.713987%77.713987%77.7%58594077.713987%77.713987%77.7%6716723776.345275%76.345275%76.3%71,13771.1k76.345275%76.345275%76.3%71,13771.1k76.207303%76.207303%76.2%1034172.579452%72.579452%72.6%2,239,2062.24M71.552190%71.552190%71.6%2964271.552190%71.552190%71.6%3643654370.977909%70.977909%71.0%15,618,69115.6M69.717832%69.717832%69.7%22,664,11922.7M68.253043%68.253043%68.3%101,015,409101M

Private Income by Neighborhood#13

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Christiana, selected other neighborhoods in Elkhart, and entities that contain Christiana
$0k$20k$40k%Count#East North CentralMidwestUnited States of AmericaUnited StatesEvergreen NeighborhoodEvergreenRivercreek NeighborhoodRivercreekGlenwood Park NeighborhoodGlenwood ParkConns Pond NeighborhoodConns PondIndianaEast Lake NeighborhoodEast LakeGreenleaf Manor NeighborhoodGreenleaf MnrJohn Weaver NeighborhoodJohn WeaverLexington Landing NeighborhoodLexington LndgRainbow NeighborhoodRainbowElkhart and Goshen Metro AreaElkhart AreaElkhart CountyElkhartEast Jackson NeighborhoodEast JacksonRiverview NeighborhoodRiverviewState-Division NeighborhoodState-DivisionMarine NeighborhoodMarineMiles NeighborhoodMilesZIP Code 46514ZIP 46514Northside NeighborhoodNorthsideWoodlawn NeighborhoodWoodlawnWillowdale NeighborhoodWillowdalePulaski NeighborhoodPulaskiElkhart Community SchoolsElkhartGrant NeighborhoodGrantBeardsley NeighborhoodBeardsleyChristiana NeighborhoodChristianaPleasant-Prairie NeighborhoodPleasant-PrairieElkhartSterling South NeighborhoodSterling SBower NeighborhoodBowerStrong NeighborhoodStrongRiverside NeighborhoodRiversideLexington River Bend NeighborhoodLexington Riv BendHayden NeighborhoodHaydenMcNaughton NeighborhoodMcNaughtonWest Lusher NeighborhoodWest LusherMiddlebury South NeighborhoodMiddlebury SGoshen Avenue NeighborhoodGoshen AvenueTipton Area NeighborhoodTipton AreaBaker Park NeighborhoodBaker ParkHudson-Sterling NeighborhoodHudson-SterlingDowntown NeighborhoodDowntownSouth Benham NeighborhoodSouth BenhamBent Oak NeighborhoodBent OakPierre Moran NeighborhoodPierre MoranSouthdale NeighborhoodSouthdaleImpact NeighborhoodImpactHistoric Roosevelt NeighborhoodHist RooseveltIndiana NeighborhoodIndiana$42,448.000000$42,448.000000$42.4k70.978%71.0%15,618,69115.6M$42,254.000000$42,254.000000$42.3k69.718%69.7%22,664,11922.7M$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$41,354.000000$41,354.000000$41.4k79.623%79.6%4861$41,354.000000$41,354.000000$41.4k79.623%79.6%2542552$41,354.000000$41,354.000000$41.4k79.623%79.6%693$41,354.000000$41,354.000000$41.4k79.623%79.6%634$41,003.000000$41,003.000000$41.0k72.579%72.6%2,239,2062.24M$40,784.000000$40,784.000000$40.8k71.552%71.6%3643655$40,784.000000$40,784.000000$40.8k71.552%71.6%2966$37,543.289118$37,543.289118$37.5k80.679%80.7%3897$37,542.000000$37,542.000000$37.5k80.684%80.7%208$37,542.000000$37,542.000000$37.5k80.684%80.7%179$37,339.000000$37,339.000000$37.3k76.345%76.3%71,13771.1k$37,339.000000$37,339.000000$37.3k76.345%76.3%71,13771.1k$37,252.000000$37,252.000000$37.3k77.714%77.7%67167210$37,252.000000$37,252.000000$37.3k77.714%77.7%34511$37,252.000000$37,252.000000$37.3k77.714%77.7%12112$37,252.000000$37,252.000000$37.3k77.714%77.7%585913$37,069.512843$37,069.512843$37.1k79.902%79.9%737414$36,859.000000$36,859.000000$36.9k80.466%80.5%16,01616.0k$35,495.000000$35,495.000000$35.5k87.038%87.0%47715$35,495.000000$35,495.000000$35.5k87.038%87.0%23123216$35,495.000000$35,495.000000$35.5k87.038%87.0%18718817$35,495.000000$35,495.000000$35.5k87.038%87.0%10518$35,201.000000$35,201.000000$35.2k80.618%80.6%27,96328.0k$33,625.000000$33,625.000000$33.6k83.847%83.8%26826919$33,625.000000$33,625.000000$33.6k83.847%83.8%24925020$33,156.287839$33,156.287839$33.2k84.447%84.4%16121$32,018.000000$32,018.000000$32.0k87.507%87.5%59122$31,473.000000$31,473.000000$31.5k83.127%83.1%18,08118.1k$30,975.229076$30,975.229076$31.0k86.501%86.5%17817923$30,714.000000$30,714.000000$30.7k80.835%80.8%60961024$30,714.000000$30,714.000000$30.7k80.835%80.8%21721825$30,714.000000$30,714.000000$30.7k80.835%80.8%19726$30,714.000000$30,714.000000$30.7k80.835%80.8%15115227$30,714.000000$30,714.000000$30.7k80.835%80.8%10528$30,714.000000$30,714.000000$30.7k80.835%80.8%19519629$30,136.000000$30,136.000000$30.1k76.207%76.2%10330$30,117.227872$30,117.227872$30.1k85.863%85.9%27827931$30,076.000000$30,076.000000$30.1k85.922%85.9%17932$30,076.000000$30,076.000000$30.1k85.922%85.9%58433$30,076.000000$30,076.000000$30.1k85.922%85.9%18634$30,076.000000$30,076.000000$30.1k85.922%85.9%18518635$29,788.023996$29,788.023996$29.8k82.928%82.9%1,7201,72136$29,097.120207$29,097.120207$29.1k78.876%78.9%27537$29,088.000000$29,088.000000$29.1k78.882%78.9%23438$29,088.000000$29,088.000000$29.1k78.882%78.9%8039$29,088.000000$29,088.000000$29.1k78.882%78.9%55340$27,769.411729$27,769.411729$27.8k79.174%79.2%72241$27,733.455124$27,733.455124$27.7k81.884%81.9%66142$26,299.000000$26,299.000000$26.3k80.024%80.0%60943

Definitions

A sector describes the organizational category of a person’s employing organization. On this page, all employed persons are categorized as working in one of the following sectors (bolded terms are used in the charts and maps on this page):

  • Private for-profit wage and salary workers:
    • Private: Employee of private company workers
    • Self-Employed: Self-employed in own incorporated business workers
  • Non-Profit: Private not-for-profit wage and salary workers
  • Local Government: Local government workers
  • State Government: State government workers
  • Federal Government: Federal government workers
  • Sole Proprietor: Self-employed in own not incorporated business workers
  • Unpaid Family: Unpaid family workers

Unlike the other geographical entities detailed on this site, neighborhoods are not recognized by the U.S. Census Bureau. To overcome this we have computed reasonable estimates of the same statistics that are presented for other the entity types. Each statistic is computed as the weighted sum or average of the census tracts or block groups that overlap the neighborhood. A weighted sum is used for counts of people or households, and a weighted average is used for statistics that are themselves some form of average, such as median household income. Census block groups are preferred when the statistic in question is available on the block group level. The weight for a given tract (or block group) is computed as the population of the census tabulation blocks that occupy the intersection between the tract and the neighborhood as a fraction of the total population of the neighborhood.

For additional information about the data presented on this site, including our sources, please see the About Page.

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