Low & Moderate Income Census Tract Data Analytics
... updated with HMDA 2017 data
... data and tools to analyze patterns & characteristics by neighborhood
September 2018. Among all census tracts for which low and moderate income data were tabulated in the HMDA 2017 data, 6,023 (8.7%) were low income, 16,873 (24.5%) were moderate income, 32,509 (47.1%) were middle income and 19,159 (27.8%) were upper income. See more about these classifications. Find out about your tracts/neighborhoods of interest and how they compare to others using data and tools provided in this section.
This section has been updated to provide more detail below on the use of GIS and data analytics tools to examine census tracts by LMI status and more.
Analysis of the low, moderate, middle, and upper income of the population and households by small area geography is important to housing market stakeholders, lenders, investors, cities/neighborhoods and others. Low and moderate income data by block group and census tract are used for compliance, eligibility determination and program performance in many Federal programs and agencies.
This section is focused use of data and tools to analyze characteristics and patterns of census tract geography with a focus on low and moderate income.
Use the interactive table below to view, query, compare, sort census tracts.
Use tract estimates & projections to examine current/future characteristics.
- extended demographic-economic measures, annual 2010-2023
Low & Moderate Income by Census Tract
The following view shows census tracts designated as low and moderate income (orange fill pattern) in the the Houston, TX MSA (bold brown boundary) area. These are tracts having income level with codes 1 and 2 in the interactive table below. A wide range of market insights can be created zoom-in views for counties, cities and neighborhoods and linking these with other data. Make variations of this view using ProximityOne data and tools described in this section.
View developed using CV XE GIS and related GIS project.
View similar maps for these areas:
.. Atlanta metro
.. Chicago, IL metro
.. Dallas, TX metro
.. Knoxville, TN metro with drill-down views for Knoxville city
.. Los Angeles, CA metro
.. San Francisco, CA metro
Using Tools & Data Resources in this Section
Use tools in this section to examine the characteristics of census tracts relating to low and moderate income. View/rank/compare census tract characteristics using the interactive table (see below). Use the GIS tools to visually and geospatially analyze patterns and characteristics of interest. Members of the ProximityOne User Group may download the Census Tract Low and Moderate Income (LMI) GIS project and use this project and datasets with the CV XE GIS software. Develop variations on maps shown in this section; add your own data.
Low & Moderate Income by Census Tract Interactive Table
Click ShowAll button to show all areas and restore full set of data view.
Click column header to sort; click again to sort other direction. See usage notes below table.
Data in table are for all tracts and show status of each tract as to income level.
See related Geographic-Demographic-Economic Interactive Tables
Click ShowAll button between queries
Click ShowAll button to show all areas and restore full set of data view.
Click on a column header to sort on that column; click column header again to sort in other direction.
Use horizontal scroll bar at base of table to scroll left-right.
To view geographies in one state:
select State dropdown below table and select state; click ShowAll between selections.
Find a specific census tract .. use Find GEOID:
key in full census tract code in text box to right of Find GEOID button.
this must be a Census 2010 tract code: 11 characters, all numbers with any lead zeroes.
then click Find GEOID to locate this one tract.
if the table refreshes as empty, the tract code entered is not a Census 2010 tract code.
Find by Name: key in partial area name in text box to right of Find-in-Name button
then click button to locate all matches (case sensitive).
Show only tracts of a certain income level:
select IncLev dropdown below table and choose income level; click ShowAll between selections.
See related interactive tables.
About these Data
Data provided in the table reflect current vintage metropolitan areas and Census 2010 census tracts, ACS 2015 vintage, and are demographic data based on ACS 2015 5 year estimates, and 2017 HMDA coding.
GEOID - census tract code
County name - where tract located
State USPS code
State FIPS code
County FIPS code
Census 2010 tract code
State + County FIPS code
CBSA -- core based statistical area code
Principal city flag. 0=not principal city 1=principal city
Small county flag. T=tract record S=small county I=Island Area
Split tract flag. N=tract number occurs w/in one MA S=split between MAs
Demographic data flag
.. X=Tot population or MFI is 0, D=tot population and MFI are not 0, I=Island Area
Urban/rural flag. U=urban R=rural M=mixed I=Island Area
RegionMFI -- Median family income for MSA/region
RegionMHI -- Median household income for MSA/region
TMFI% -- Tract median family income as percent of median family income for MSA/region
Tract median family income -- computed based on TMFI% x RegionMFI
White alone population
Hispanic population (of any race)
Non-Hispanic of one race
Indicator - identifies Income Level Indicator (low, mod, mid, upper income areas)
Indicator - meets current year poverty CRA distressed criteria: X: Yes
Indicator - meets current year unemployment CRA distressed criteria: X: Yes
Indicator - meets current year population CRA distressed criteria: X: Yes
Indicator - meets current year remote rural (low density) CRA underserved criteria: X: Yes
Indicator - meets at least one of the previous year CRA distressed criteria: X: Yes
Indicator - meets previous year CRA underserved criteria: X: Yes
Indicator - meets at least one of current or previous year CRA distressed/underserved tract criteria: X: Yes
TractsLMI GIS Project & Data Analytics (requires Windows computer with Internet connection)
The software and data described below are provided for personal, non-business use only.
1. Install the ProximityOne CV XE GIS
... run the CV XE GIS installer
... take all defaults during installation
2. Download the GIS project and related data files.
... requires User ID
... unzip LMI Tract GIS Project to local folder c:\tractslmi\
3. Open the tractslmi1.gis project
... after completing the above steps, click File>Open>Dialog
... open the file named c:\tractslmi\tractslmi1.gis
4. Done. The map view shown appears as shown below.
LMI-Tract Data Analytics -- Using the Analytical Software & Data [goto top]
The following graphics and narrative provide insights into how tract demographic characteristics can be examined using the software and data package. After installing the software and data as described above, you can go through these steps using the no fee version. Purchase a license for more features and to be licensed for business use.
1. Start-up View. The following graphic shows the start-up view of the TractsLMI project using the CV XE GIS software. The map shows a thematic pattern of census tracts in the Harris County, TX (Houston) area by low and moderate income status. See the interval/section color pattern in the legend at left of map ("Tracts by LMI Status"). Using the tools and data described above, tracts-LMI patterns can be examined for any area of the U.S. The pointer is positioned on tract reviewed in the next graphic.
- View developed using CV XE GIS and related GIS project.
2. Zoom-in - Labels and LMI Attributes of a Tract. The next graphic shows a zoom-in to the above view. The tracts layer has been set to 70% transparency enabling a view of underlying streets and topography. Labels have been turned on showing the 11-character tract code and tract median family income (MFI). The select/identify tool has been used to click on a tract and display a mini profile. See in the form/table that this is for tract 48201210400 which has TMFI (tract median family income) of $28,562.
3. Locating a Tract of Interest. Beginning with the GIS project start-up view, suppose you have a tract code and want to locate it on the map. Use the Find Shape/Object tool -- binoculars on toolbar shown in the next graphic.
Select the desired layer, choose the field to search (tract code), enter the tract code, click the checkbox Zoom ... then click the Find button. A variation of the following view then appears (for clarity, the pattern layer has been unchecked and the tract boundary made bolder) as shown below.
The above examples provide some getting started steps. There is much more than can be done. For example, add your own data such as addresses/locations for your properties to see how they are distributed and cluster, or not, by certain types of LMI tracts. Code those properties with property attributes such as price, status, etc. ... show those attributes as labels and set the locations to different marker styles/color based on their attributes.
Use out more up-to-date data on housing prices, median family income, and many other measures. We develop annual tract level demographics for the period 2010-2023. Our most recent estimates are four year more up-to-date than data available from the Census Bureau, FFIEC and related HMDA programs. You can also get insights into change how the markets might change in the future.
Low, Moderate, Middle, Upper Income Classification by Census Tract [goto top]
Low, moderate, middle, upper income classification by census tract is based on the median family income of a specific census tract relative to the metropolitan statistical area (MSA) or non-MSA area in which the tract is located. As used in this section, a census tract attribute, HMDAS1, is an income level lndicator (low, mod, mid, upper income areas):
1 - Low -- MFI is less than 50% of the MSA/parent area MFI
2 - Moderate -- MFI is from 50% to 80% of the MSA/parent area MFI
3 - Middle -- MFI is from 80% to 120% of the MSA/parent area MFI
4 - Upper -- MFI is 120% or more of the MSA/parent area MFI
0 - NA -- MFI is 0 or not available
where MFI is the Median Family Income
Low and moderate income designation is closely associated with implementation of the Home Mortgage Disclosure Act (HMDA) and the Community Reinvestment Act (CRA) and is a widely used in many other applications as a measure of economic prosperity.
Metros and Core-Based Statistical Areas [goto top]
Metropolitan Statistical Areas (MSAs) and Micropolitan Statistical Areas (MISAs) are geographic entities delineated by the Office of Management and Budget (OMB) for use by Federal statistical agencies in collecting, tabulating, and publishing Federal statistics. The term "Core-Based Statistical Area" (CBSA) refer to the collective set of MSAs and MISAs. A MSA contains a core urban area of 50,000 or more population. A MISA contains an urban core of at least 10,000 (but less than 50,000) population. Each MSA or MISA consists of one or more counties and includes the counties containing the core urban area, as well as any adjacent counties that have a high degree of social and economic integration (as measured by commuting to work) with the urban core. The availability of data tabulated by MSA and MISA (and often less available for all counties or all cities) make MSAs and MISAs popular for the analysis of demographic, economic and business data.
Determining CBSA Code
Find name and code from list.
Find name in table and view corresponding CBSA code.
Key in an address here to find codes/names based on address
Related Housing Market Data & Analytical Resources
Census tract data need to used in combination with many other measures, geography and tools for more comprehensive analyses.
2010-2016 annual population estimates: county, metro, state, U.S.
ACS 2015 1-year demographic-economic tables: metro, state, U.S.
Housing Unit Time Series, Trends & Patterns
Housing Price Index
Housing market conditions
ProximityOne Data Services: access/integrate these with other data
Each data resource section has associated GIS project & datasets.
CV XE GIS software: data analytics, maps, geospatial analysis
See related Interactive Ranking Tables
Detailed ACS annual tract interactive tables
- annual updates
General Demographics .. Social Characteristics .. Economic Characteristics .. Housing Characteristics
Support Using these Resources [goto top]
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these 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 [goto top]
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.
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.