The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

The Public Use Microdata Sample (PUMS) for Puerto Rico (PR) contains a sample of responses to the Puerto Rico Community Survey (PRCS). The PRCS is similar to, but separate from, the American Community Survey (ACS). The PRCS collects data about the population and housing units in Puerto Rico. Puerto Rico data is not included in the national PUMS files. It is published as a state equivalent file and has a State FIPS code of “72”. The file includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. Data are available at the state and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition Puerto Rico into contiguous geographic units containing roughly 100,000 people each. The Puerto Rico PUMS file for an individual year, such as 2019, contain data on approximately one percent of the Puerto Rico population.

This is a series-level metadata record. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

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).

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.

These data represent Socioeconomic Projections for the MAG Region by municipal planning area (MPA)*,adopted June 28, 2023, by the MAG Regional Council. An official set of projections is required to be used in transportation, air quality, and water quality management plans, as well as providing the base for all other regional planning activities. Current projections, therefore, are integral for managing future growth. The development of socioeconomic projections requires the collection and merging of a substantial amount of data from varying sources with differing data quality and resolution. These data include the following:Population and Housing: American Community Survey 5-year data (2017-2021),MAG Residential Completions database, County Property Assessment data, MAG/Arizona Department of Administration (ADOA) Annual Population Estimates.Group Quarters (Institutional and Non-institutional): MAG group quarters inventory.Detailed Population Characteristics: American Community Survey (ACS) Public Use Microdata Sample (PUMS) - 5-year data (2017-2021).Employment: MAG Employer Database, county level control totals developed from the Quarterly Census of Employment and Wages and Bureau of Labor Statistics (QCEW/BLS) data.Residential Completions: Current through 2022Q4, submitted and reviewed by MAG member agencies.Existing Land Use: Land use current as of December 2022, reviewed by MAG Population Technical Advisory Committee (POPTAC).Built Space: Maricopa County Assessor’s data current as of July 2022.Future Plans: General Plans current as of December 2022 or later, reviewed by MAG POPTAC.Development Data: data current as of 2023Q2 or later, reviewed by MAG POPTAC.TAZ system: TAZ2021b supplied by MAG Transportation Division.Educational institutions: Inventory of schools from Arizona Department of Education and post high school institutions.Mobile Home and RV Parks: Inventory of mobile home and RV parks.Retirement Areas: Age restricted communities reviewed by MAG POPTAC.Hotels/Motels/Resorts: Inventory of hotels/motels.For full documentation on the model process, please consult the Socioeconomic Projections Documentation: Data, Models, Methods, and Assumptions in the MAG Socioeconomic Projections 2023 on the MAG website at https://www.azmag.gov.These projections were adopted by the MAG Regional Council on June 28, 2023 for the MAG planning area. Areas outside of the MAG planning area are not adopted by the MAG Regional Council, but are prepared on behalf of Central Arizona Governments (CAG) and adopted separately.*Municipal planning areas are determined by the MAG member agencies in consultation with MAG staff. The MPAs identify the anticipated future corporate limits of a city or town.