[Metadata]
- 2015 Census Public Use Microdata Areas (PUMA) with population figures from American
Community Survey 5-year estimates. Source: U.S. Census Bureau, 2016.
The
American Community Survey (ACS) is an ongoing survey that provides data
every year ... the 5-year estimates from the ACS are "period" estimates
that represent data collected over a period of time, from 2011 to
2015. For more information about the ACS, please visit https://www.census.gov/programs-surveys/acs/.
A nationwide survey that collects information such as age, race, income, commute time to work, home value, veteran status, and other data. Data from the American Community Survey and the Puerto Rico Community Survey were collected during calendar year 2010. Available for geographic areas with populations of 65,000 or more.
The 2020 NYC Public Use Microdata Areas (PUMAs) are statistical geographic areas defined for the dissemination of 2020 Public Use Microdata Sample (PUMS) data. PUMAs have a minimum population of 100,000, are aggregated from census tracts, and approximate Community Districts (CDs), or combinations of CDs (There are 59 CDs and only 55 NYC PUMAs because of such combinations). These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map.
How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8bd0ae94-40d3-4c9b-8a6b-de032e07929f on 12 February 2022.
--- Dataset description provided by original source is as follows ---
How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.
The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015.
Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population.
The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight.
The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
--- Original source retains full ownership of the source dataset ---
[Metadata] 2010 Census Public Use Microdata Areas (PUMA). Source: US Census Bureau.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
[Metadata]
- 2015 Census Public Use Microdata Areas (PUMA) with population figures from American
Community Survey 5-year estimates. Source: U.S. Census Bureau, 2016.
The
American Community Survey (ACS) is an ongoing survey that provides data
every year ... the 5-year estimates from the ACS are "period" estimates
that represent data collected over a period of time, from 2011 to
2015. For more information about the ACS, please visit https://www.census.gov/programs-surveys/acs/.