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January 2019. In developing current estimates and projections of the school age population, annual time-series historical data, such as reviewed in this section, can be very important. This section provides tools to analyze annual demographic data for each U.S. school district for the period 2010 through 2017. These data include Census Bureau official 2017 estimates available for all districts. Developed for use as inputs for the ESEA Title I allocation formula, the data have broader uses of interest to school district demographics stakeholders. The 2017 estimates were released in December 2018; 2018 estimates become available in late 2019. ProximityOne uses these data in combination with other data to develop school district current estimates and annual projections through 2022 with related drill-down demographic-economic subject matter. Use the interactive table below to view, rank, compare demographic characteristics of districts of interest.

The annual estimates for each school district include the total population, number of children ages 5 to 17, and number of related children ages 5 to 17 in families in poverty are developed annually. Important features of these data include 1) they are available for all school districts, 2) they are reasonably current, 3) a time-series with annual updates is useful for trend analysis, and 4) they provide standardized measure across districts to measure poverty.

Patterns of Population Ages 5-17 %Change 2010-2017 by School District
The graphic below shows a zoom-in to Texas/south central region and patterns of population ages 5-17 %change 2010-2017 by unified and secondary school district. No adjustment has been made for possible district mergers or boundary changes among other factors that could in make percent change data misleading. Many districts have quite small populations which could make some percent change data/views misleading. Metropolitan Statistical Areas (MSAs) shown with bold boundary. Click graphic for larger view. Expand browser window for best quality view.

- view developed with CVGIS software and related GIS project.

Patterns of %Children in Poverty by School District
The graphic below shows a zoom-in to Texas/south central region and patterns of percent related children in poverty by school district. Metropolitan Statistical Areas (MSAs) shown with bold boundary. Click graphic for larger view. Expand browser window for best quality view.

- view developed with CVGIS software and related GIS project.

The annual estimates for each school district include:
  • total population
  • number of children ages 5 to 17
  • number of related children ages 5 to 17 in families in poverty

Learn more about these data, using the table below and using these with other data. Join us in a no fee, no registration Data Analytics Lab session (Tuesdays, weekly). See details.

Using the Data & Interactive Table go top
  • Data are presented annually for each year 2010 through 2017.
  • Data have not been modified and are as estimated by Census.
  • The table is initially sorted on state by school district name.
  • There are 3 sets of data in each row corresponding to:
    .. total population
    .. number of children ages 5 to 17
    .. number of related children ages 5 to 17 in families in poverty
  • Use buttons below the table to select column sets.
  • The annual series is "controlled" to 2017.
    .. data were merged for each year starting with the 2010 data.
    .. no adjustment was made for boundary changes, mergers, dissolutions, etc.
    .. it is important that you know districts of interest in this regard.
    .. when the 2010 value was 0, the 2010-17 change value was set to -999.
  • See additional details below table.

School District 2010-17 Demographic Characteristics -- Interactive Table go top
  Use mouseover on header column to view extended item/column name.
  Click ShowAll button between Find/Queries. See usage notes below table.
  See related geographic, demographic, economic interactive tables.
 


Usage Notes
  • A value of -999 indicates the items could not be computed.
  • Click ShowAll button between queries; this resets the table.
  • Click on a column header to sort on that column; click column header again to sort in other direction.
  • Click State to select on geographies in a selected state (click ShowAll between selections).
  • Peer Groups. Click ShowAll button then click "Pop2017 Min & Max>" button to view only districts
      with 2017 population between the specified minimum and maximum.
    .. example: set the min and max to 150000 and 200000. Click ShowAll. Click Pop2017 button.
    .. the table refreshes showing these 118 districts. Click Name header cell to sort.
  • Exporting data. Click checkbox at left of row to select districts of interest; selected rows turn blue.
    .. right click in a blue area and select copy to clipboard.
    .. paste the data in a spreadsheet or other application.

Examining Districts in a County/Metro
These steps illustrate how to examine the percent grade relevant children in poverty by district for districts in a county or metro/CBSA. Get 5 character StCty or CBSA code here: http://proximityone.com/stcty.txt
Examples:
- the code for Bexar County, TX is 48029 (third column from left)
  • Click ShowAll button (below table) between queries; this resets the table.
  • Click "%Rel Chld 5-17 in Poverty" button below table.
    .. table refreshes shown the district name, state and 7 annual columns showing percent in poverty.
  • Key in the StCty value State+county FIPS code) into the edit box to the right of Find County> button below table.
    .. where the value 48201 (Harris County, TX) is used in the default setting.
  • Click "Find County>" button.
    .. table refreshes to show only districts in this county.
  • Click column header cell to sort on a selected column.

Note that the above procedure works best for unified school districts as these data do not include the number of total grade relevant children for elementary or secondary districts.

Items Shown in Columns in Table
- Name
- State
- Federal District Code
- Population 2010
- Population 2011
- Population 2012
- Population 2013
- Population 2014
- Population 2015
- Population 2016
- Population 2017
- Population Chg 10-17
- Population %Chg 10-17
- Population Ages 5-17 years 2010
- Population Ages 5-17 years 2011
- Population Ages 5-17 years 2012
- Population Ages 5-17 years 2013
- Population Ages 5-17 years 2014
- Population Ages 5-17 years 2015
- Population Ages 5-17 years 2016
- Population Ages 5-17 years 2017
- Population Ages 5-17 years Chg 10-17
- Population Ages 5-17 years %Chg 10-17
- Related Children ages 5-17 in Families in Poverty 2010
- Related Children ages 5-17 in Families in Poverty 2011
- Related Children ages 5-17 in Families in Poverty 2012
- Related Children ages 5-17 in Families in Poverty 2013
- Related Children ages 5-17 in Families in Poverty 2014
- Related Children ages 5-17 in Families in Poverty 2015
- Related Children ages 5-17 in Families in Poverty 2016
- Related Children ages 5-17 in Families in Poverty 2017
- Related Children ages 5-17 in Families in Poverty Chg 10-17
- Related Children ages 5-17 in Families in Poverty %Chg 10-17
- %Related Children ages 5-17 in Families in Poverty 2010/Population Ages 5-17 years 2010
- %Related Children ages 5-17 in Families in Poverty 2011/Population Ages 5-17 years 2011
- %Related Children ages 5-17 in Families in Poverty 2012/Population Ages 5-17 years 2012
- %Related Children ages 5-17 in Families in Poverty 2013/Population Ages 5-17 years 2013
- %Related Children ages 5-17 in Families in Poverty 2014/Population Ages 5-17 years 2014
- %Related Children ages 5-17 in Families in Poverty 2015/Population Ages 5-17 years 2015
- %Related Children ages 5-17 in Families in Poverty 2016/Population Ages 5-17 years 2016
- %Related Children ages 5-17 in Families in Poverty 2017/Population Ages 5-17 years 2017

  • Data are presented annually for each year 2010 through 2017.
  • These data have not been modified and are as estimated by Census.
  • The annual series is "controlled" to 2017.
    .. data were merged for each year starting with the 2017 data.
    .. no adjustment was made for boundary changes, mergers, dissolutions, etc.
    .. it is important that you know districts of interest in this regard.
    .. when the 2010 value was 0, the 2010-17 change value was set to -999.
  • Data were released in annual files; data were subject to challenge.
    .. some data might have been updated; possible revisions are not known.

About these and Related Data go top
These data are estimates of the resident population of each district. The data are not administrative enrollment data as reported by education agencies. A unique feature of these data is that the only other federal statistical sources of data for this scope of subject matter is for districts with population 65,000 population and over from the American Community Survey (ACS 2017). These data offer timely updates for all school districts.

These data are based on annual estimates developed by the Census Bureau for the U.S. Department of Education. The data are used as inputs for use in the allocation formula for Title I of the Elementary and Secondary Education Act, as currently amended. Title I distributes funding to school districts based on the number and percentage of low-income children. The U.S. Department of Education expects to use the 2016 estimates to calculate fiscal year 2018 allocations for Title I and several other Department of Education programs for use by states and school districts.

See related data:
Districts 65,000 population & over; 2017 annual demographic-economic estimates
  • General demographics
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics
All districts; ACS 2017 5 year demographic-economic estimates
  • General demographics
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics

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.

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

Additional Information
ProximityOne develops geographic-demographic-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 ProximityOne (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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