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January 2016. The importance of understanding the demographic-economic make-up and trends for school districts can hardly be overstated. Community and educational challenges and opportunities are shaped by demographic-economic dynamics. Only by knowing "where we are" can we develop the most effective plans for improvement.

This section is focused on tools, resources and methods that you can use to access, integrate and analyze school district economic characteristics data. The U.S. national scope ACS 2014 (released December 2015) School District Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each school district organized into four subject matter groups:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics -- this section (see similar ACS 2012 data)
  • Housing Characteristics

These data provide information and insights not available by examining data of students and schools alone -- or any other data. See more about the importance of these data.

Data reviewed in this section are based on the American Community Survey (ACS) 2014 5-year estimates for school districts defined as of the 2013-14 school year. See notes on importance of these data. See similar ranking tables for: Census Tracts | ZIP Codes | State, Metro & County.

Patterns of Economic Prosperity by School District
This view shows median household income by school district; Texas and southcentral U.S. The thematic pattern shows item E062 in the interactive table below. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the relative ease to gain insights into school district patterns using geospatial data analytics tools.

- View developed using CV XE GIS and related GIS project.

Get a Custom Map for Your Area of Interest
Use this form to request a no fee map graphic similar to the one shown above for a state of interest. Enter the request with state name in the text section; e.g., "Requesting school district #MHI pattern map for Illinois."

Using the Interactive Table
Use the interactive ranking table in this section to view, query, rank, compare economic characteristics for these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. In the subject matter items scrollbox, subject matter items are organized into to mini-tables with related items. The number at the left of the subject matter item is also used as the short name for the subject matter item in the column header in the ranking table.

Economic Characteristics Items
EMPLOYMENT STATUS
  E001         Population 16 years and over
  E002 In labor force
  E003     Civilian labor force
  E004         Employed
  E005         Unemployed
  E006     Armed Forces
  E007 Not in labor force
  E008     Civilian labor force
  E009 Percent Unemployed
  E010     Females 16 years and over
  E011 In labor force
  E012     Civilian labor force
  E013         Employed
  E014     Own children under 6 years
  E015 All parents in family in labor force
  E016     Own children 6 to 17 years
  E017 All parents in family in labor force
COMMUTING TO WORK
  E018     Workers 16 years and over
  E019 Car, truck, or van -- drove alone
  E020 Car, truck, or van -- carpooled
  E021 Public transportation (excluding taxicab)
  E022 Walked
  E023 Other means
  E024 Worked at home
  E025 Mean travel time to work (minutes)
OCCUPATION
  E026     Civilian employed population 16 years and over
  E027 Management, business, science, and arts occupations
  E028 Service occupations
  E029 Sales and office occupations
  E030 Natural resources, construction, and maintenance occupations
  E031 Production, transportation, and material moving occupations
INDUSTRY
  E032     Civilian employed population 16 years and over
  E033 Agriculture, forestry, fishing and hunting, and mining
  E034 Construction
  E035 Manufacturing
  E036 Wholesale trade
  E037 Retail trade
  E038 Transportation and warehousing, and utilities
  E039 Information
  E040 Finance and insurance, and real estate and rental and leasing
  E041 Professional, scientific, and management, and administrative and waste management services
  E042 Educational services, and health care and social assistance
  E043 Arts, entertainment, and recreation, and accommodation and food services
  E044 Other services, except public administration
  E045 Public administration
CLASS OF WORKER
  E046     Civilian employed population 16 years and over
  E047 Private wage and salary workers
  E048 Government workers
  E049 Self-employed in own not incorporated business workers
  E050 Unpaid family workers
INCOME AND BENEFITS (IN 2010 INFLATION-ADJUSTED DOLLARS)
  E051     Total households
  E052 Less than $10,000
  E053 $10,000 to $14,999
  E054 $15,000 to $24,999
  E055 $25,000 to $34,999
  E056 $35,000 to $49,999
  E057 $50,000 to $74,999
  E058 $75,000 to $99,999
  E059 $100,000 to $149,999
  E060 $150,000 to $199,999
  E061 $200,000 or more
  E062 Median household income (dollars)
  E063 Mean household income (dollars)
  E064 With earnings
  E065     Mean earnings (dollars)
  E066 With Social Security
  E067     Mean Social Security income (dollars)
  E068 With retirement income
  E069     Mean retirement income (dollars)
  E070 With Supplemental Security Income
  E071     Mean Supplemental Security Income (dollars)
  E072 With cash public assistance income
  E073     Mean cash public assistance income (dollars)
  E074 With Food Stamp/SNAP benefits in the past 12 months
  E075     Families
  E076 Less than $10,000
  E077 $10,000 to $14,999
  E078 $15,000 to $24,999
  E079 $25,000 to $34,999
  E080 $35,000 to $49,999
  E081 $50,000 to $74,999
  E082 $75,000 to $99,999
  E083 $100,000 to $149,999
  E084 $150,000 to $199,999
  E085 $200,000 or more
  E086 Median family income (dollars)
  E087 Mean family income (dollars)
  E088 Per capita income (dollars)
  E089     Nonfamily households
  E090 Median nonfamily income (dollars)
  E091 Mean nonfamily income (dollars)
  E092 Median earnings for workers (dollars)
  E093 Median earnings for male full-time, year-round workers (dollars)
  E094 Median earnings for female full-time, year-round workers (dollars)
HEALTH INSURANCE COVERAGE
  E095 .. Civilian Noninstitutionalized Population
  E096 .... With health insurance coverage
  E097 ...... With private health insurance coverage
  E098 ...... With public health coverage
  E099 .... No health insurance coverage
  E100 .... Civilian Noninstitutionalized Population Under 18 years
  E101 ...... No health insurance coverage
  E102 .... Civilian noninstitutionalized population 18 to 64 years
  E103 ...... In labor force:
  E104 ........ Employed:
  E105 .......... With health insurance coverage
  E106 ............ With private health insurance
  E107 ............ With public coverage
  E108 .......... No health insurance coverage
  E109 ........ Unemployed:
  E110 .......... With health insurance coverage
  E111 ............ With private health insurance
  E112 ............ With public coverage
  E113 .......... No health insurance coverage
  E114 ...... Not in labor force:
  E115 ........ With health insurance coverage
  E116 .......... With private health insurance
  E117 .......... With public coverage
  E118 ........ No health insurance coverage
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
  E119 All families
  E120     With related children under 18 years
  E121         With related children under 5 years only
  E122 Married couple families
  E123     With related children under 18 years
  E124         With related children under 5 years only
  E125 Families with female householder, no husband present
  E126     With related children under 18 years
  E127         With related children under 5 years only
  E128 All people
  E129 Under 18 years
  E130     Related children under 18 years
  E131         Related children under 5 years
  E132         Related children 5 to 17 years
  E133 18 years and over
  E134     18 to 64 years
  E135     65 years and over
  E136 People in families
  E137 Unrelated individuals 15 years and over

School District ACS 2014 Demographic-Economic Interactive Tables -- Economic Characteristics
  Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
  See usage notes below table. See related tables -- http://proximityone.com/rankingtables.htm.


Usage Notes
  • If table not showing any rows; click ShowAll button below table.
  • Use vertical and horizontal scroll bars to navigate up/down or left/right.
  • Adjust column widths using column divider between header cells.
  • CBSA> button -- use to select districts in a specified metro/CBSA
    .. get metro 5-character code here     .. paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
    .. click the CBSA> button ... table refreshes with all districts in specified metro.
  • Find Name> button -- use to select district based on exact spelling of partial name in column 1.
    .. Key in exact up/low case spelling of partial name of district in the edit box to right of Find Name> button.
    .. overwriting the value Los Angeles.
    .. click the Find Name> button ... table refreshes with all districts with matched spelling in column 1.
  • Selected columns -- click the "$MHI.$MFI.$PCI" below the table to show only these columns;
    .. click "All columns" button to restore view to all columns.

  • All items are estimates centric to mid-2012.
  • Click ShowAll button between specific area queries.
  • Cells with -1 value could not be estimated (for this geography and this time frame).

Selecting Districts within a Metro/CBSA
The graphic below shows school districts in the Dallas, TX metro ranked in descending order on item E062 (median household income). Highland Park ISD has the highest value of $182,609.

To replicate the above view, proceed as follows using the interactive table above.
  • Click ShowAll button below table.
  • Click $MHI.$MFI .. button below table.
  • Click the CBSA> button (using the default Dallas metro CBSA code 19100).
  • Click the E062 column header; click again to sort in other direction.

Examine a metro of interest -- get metro 5-character code here ..
  • Click ShowAll button below table.
  • Click $MHI.$MFI .. button below table.
  • Paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
  • Click the CBSA> button.
  • Click the E062 column header; click again to sort in other direction.

Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.

Importance of School District Demographic-Economic Data
The American Community Survey provides "richer" demographic-economic characteristics for national scope school districts. While Census 2010 provides data similar to those items in the General Demographics section, only ACS sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the dataset are supplemented by a wide range of additional subject matter. ACS school district data are updated annually in December of each year for each/all school districts.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

Additional Information
ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.


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