Dataset Available Remotely Hosted

Socioeconomic variables used in the Neighborhoods at Risk tool

Authors: Hernandez Gude, Patty
Published On: Mar 14 2022 21:17 UTC
DOI: https://doi.org/10.7266/HH98Q2CK
UDI: T5.x896.000:0004
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No. of Downloads: 0

File Format(s):
xlsx, docx

Project Information

Funded By:
National Academies of Sciences Gulf Research Program

Funding Cycle:
Thriving Communities 5

Research Group:
Making Gulf Communities More Resilient: Scaling-up Customized Vulnerability Assessment for Extreme Events in Gulf Cities

Point of Contact

Patty Hernandez
Headwaters Economics
patty@headwaterseconomics.org

Theme keywords

American Community Survey, Socioeconomic data, Neighborhoods at Risk

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Abstract:

The dataset contains census tract-level socioeconomic data from the U.S. Census American Community Survey (ACS) 5-year estimates representing average characteristics from 2014 to 2018 using Neighborhoods at Risk, a free and interactive data tool. Each row in the data table represents a census tract. Neighborhoods at Risk displays nine socioeconomic variables and filters about people. For each characteristic, the tool provides a margin of error as reported by the census. The data includes the following variables: children under five years old, families in poverty, households with no car, housing units that are rentals, people of color, including Hispanics, people over 65 years old, people who don’t speak English well, people with disabilities, and people without health insurance.

Suggested Citation:

Hernandez Gude, Patty. 2022. Socioeconomic variables used in the Neighborhoods at Risk tool. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/HH98Q2CK

Purpose:

To provide neighborhood-level (by census tract) information about potentially vulnerable people based on socioeconomic variables and filters about people using the Neighborhoods at Risk data tool.

Data Parameters and Units:

This dataset is remotely-hosted at Inter-university Consortium for Political and Social Research [ICPSR; https://doi.org/10.3886/E121281V1]. The dataset includes an Excel file with Neighborhoods at Risk repository data and a word document with documentation on data. The variables descriptions are as follows: ACS_POV_FAMBELOW: Families in poverty ACS_POV_FAM: Total families for whom poverty status is determined ACS_POP_NO_HEALTH_INS: People without health insurance ACS_POP_NON_INST: Total civilian noninstitutionalized population; This is the total population for whom disability and health insurance status is determined ACS_POP_DISABLED: People with disabilities ACS_HOUS_RENTALS: Housing units that are rentals ACS_HH: Total households ACS_HOUS_NOCAR: Households with no car ACS_POP_NONHISP_WHITE: Used to calculate "People of color including Hispanics": Subtract this variable (those who identify as both "Not Hispanic or Latino" and "White alone”) from “Total People.” ACS_POP: Total people ACS_LANG_ENGNOTPROF_PAR: People who don’t speak English well ACS_LANG_POP: Total people 5 years or older; This is the total population for whom language proficiency is determined ACS_POP_COHORT1: Children under 5 years old ACS_POP_COHORT23 People over 65 years old ACS_POV_FAMBELOW_MOE: Margin of error: Families in poverty ACS_POV_FAM_MOE: Margin of error: Total families for whom poverty status is determined ACS_POP_NO_HEALTH_INS_MOE: Margin of error: People without health insurance ACS_POP_NON_INST_MOE: Margin of error: Total civilian noninstitutionalized population; This is the total population for whom disability and health insurance status is determined ACS_POP_DISABLED_MOE: Margin of error: People with disabilities ACS_HOUS_RENTALS_MOE: Margin of error: Housing units that are rentals ACS_HH_MOE: Margin of error: Total households ACS_HOUS_NOCAR_MOE: Margin of error: Households with no car ACS_POP_NONHISP_WHITE_MOE: Margin of error: Used to calculate "People of color including Hispanics": Subtract this variable (those who identify as both "Not Hispanic or Latino" and "White alone”) from “Total People.” ACS_POP_MOE: Margin of error: Total people ACS_LANG_ENGNOTPROF_PAR_MOE: Margin of error: People who don’t speak English well ACS__LANG_POP_MOE: Margin of error: Total people 5 years or older; This is the total population for whom language proficiency is determined ACS_POP_COHORT1_MOE: Margin of error: Children under 5 years old ACS_POP_COHORT23_MOE: Margin of error: People over 65 years old

Methods:

Neighborhoods at Risk uses census tract-level socioeconomic data from the latest release of the U.S. Census American Community Survey (ACS) 5-year estimates.

Provenance and Historical References:

U.S. Department of Commerce. 2019. Census Bureau, American Community Survey Office, Washington, D.C., as reported by Headwaters Economics' Neighborhoods at Risk [https://headwaterseconomics.org/apps/neighborhoods-at-risk/].