This CT Counties layer consists of individual polygons representing each of the 8 counties that make up the state of Connecticut. This feature layer is directly derived from the CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The municipalities are dissolved into their associated counties. This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with each municipality. This was included based on information from Connecticut County to County Subdivision Crosswalk from the US Census. The 9 Planning Regions in Connecticut have replaced the counties for statistical and administrative functions, so these 8 counties are used only in legacy geography. Connecticut’s 9 planning regions provide a geographic framework within which municipalities can jointly address common interests and coordinate such interests with state plans and programs. CGS Section 16a-4a authorizes the Secretary of the Office of Policy and Management (OPM) to designate or redesignate the boundaries of logical planning regions. CGS Section 4-124j authorizes the member municipalities of each planning region to establish a formal regional governance structure known as a council of governments (COG). For more information see: CT Office of Policy and Management, Regional Councils of Governments in Connecticut Final Change to County Equivalents in Connecticut [PDF] Final Federal Register Notice CT Office of the Secretary of the State, Regional Councils of Governments Field name Field description County Name of the county. CountyFIPS <td style='width:283.6pt; border-top:none; border-left:none; border-bottom:solid windowtext

This CT Planning Regions layer consists of individual polygons representing each of the 9 planning regions that make up the state of Connecticut. This feature layer is directly derived from the CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The municipalities are dissolved into their associated regional Councils of Governments. This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with each municipality. This was included based on information from Connecticut County to County Subdivision Crosswalk from the US Census. Connecticut’s 9 planning regions provide a geographic framework within which municipalities can jointly address common interests and coordinate such interests with state plans and programs. CGS Section 16a-4a authorizes the Secretary of the Office of Policy and Management (OPM) to designate or redesignate the boundaries of logical planning regions. CGS Section 4-124j authorizes the member municipalities of each planning region to establish a formal regional governance structure known as a council of governments (COG). These regions have been recognized as county-equivalents and supersede the eight legacy counties in the state. For more information see: CT Office of Policy and Management, Regional Councils of Governments in Connecticut Final Change to County Equivalents in Connecticut [PDF] Final Federal Register Notice CT Office of the Secretary of the State, Regional Councils of Governments Field name Field description PlanningRegion Name of the Councils of Governments planning region. PlanningRegion FIPS <td style='widt

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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

This CT Counties layer consists of individual polygons representing each of the 8 counties that make up the state of Connecticut.

This feature layer is directly derived from the CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The municipalities are dissolved into their associated counties.

This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with each municipality. This was included based on information from Connecticut County to County Subdivision Crosswalk from the US Census.

The 9 Planning Regions in Connecticut have replaced the counties for statistical and administrative functions, so these 8 counties are used only in legacy geography.

Connecticut’s 9 planning regions provide a geographic framework within which municipalities can jointly address common interests and coordinate such interests with state plans and programs. CGS Section 16a-4a authorizes the Secretary of the Office of Policy and Management (OPM) to designate or redesignate the boundaries of logical planning regions. CGS Section 4-124j authorizes the member municipalities of each planning region to establish a formal regional governance structure known as a council of governments (COG).

For more information see:

CT Office of Policy and Management, Regional Councils of Governments in Connecticut Final Change to County Equivalents in Connecticut [PDF] Final Federal Register Notice CT Office of the Secretary of the State, Regional Councils of Governments

Field name

Field description

County

Name of the county.

CountyFIPS

US Census FIPS code associated with the county.

StateFIPS

US Census FIPS code associated with the state.

CountyFIPS_GEOID

Full US Census FIPS for the county.

ObjectID

Unique Object ID.

CT MunicipalitiesCT CountiesCT Councils of GovernmentsCT Planning Regions

The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.

        The State Geodatabase for Connecticut geodatabase contains multiple layers. These layers are the Block, Block Group, Census Designated Place,
        Census Tract, Consolidated City, County, County Subdivision and Incorporated Place layers.

        Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered
        within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same
        decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that
        census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and
        Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses
        county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban
        areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are
        those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. 

        An incorporated place, or census designated place, is established to provide governmental functions for a concentration of people as opposed to a
        minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places
        always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village,
        or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated
        places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally
        incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local,
        and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP
        boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in
        an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some
        housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census
        Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also
        included. The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010
        Census.

        The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to
        previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people.
        When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living
        conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by
        highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to
        population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable
        features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to
        allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and
        county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may
        consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities
        that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that
        include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American
        Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little
        or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial
        park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. 

         A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have
        merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the
        county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other
        incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated
        government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places
        within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any
        other place. The boundaries of the consolidated cities are those as of January 1, 2013, as reported through the Census Bureau's Boundary and
        Annexation Survey(BAS).

        The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no
        counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The
        latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri,
        Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary
        divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data
        presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data
        presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto
        Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin
        Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for
        counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey
        (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.

        County subdivisions are the primary divisions of

About this dataset

Context

The dataset tabulates the Middlesex County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Middlesex County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Middlesex County was 164,759, a 0.51% increase year-by-year from 2020. Previously, in 2020, Middlesex County population was 163,923, an increase of 0.85% compared to a population of 162,538 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Middlesex County increased by 9,104. In this period, the peak population was 166,513 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-middlesex-county-ct-population-by-year-2000-2021.jpeg" alt="Middlesex County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Middlesex County is shown in this column.
• Year on Year Change: This column displays the change in Middlesex County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Middlesex County Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Fairfield County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Fairfield County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Fairfield County was 959,768, a 0.41% increase year-by-year from 2020. Previously, in 2020, Fairfield County population was 955,895, an increase of 1.22% compared to a population of 944,388 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Fairfield County increased by 75,436. In this period, the peak population was 959,768 in the year 2021. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-fairfield-county-ct-population-by-year-2000-2021.jpeg" alt="Fairfield County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Fairfield County is shown in this column.
• Year on Year Change: This column displays the change in Fairfield County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fairfield County Population by Year. You can refer the same here

This CT Councils of Governments layer consists of individual polygons representing each of the 9 regional Councils of Governments (COGs) that make up the state of Connecticut.

This feature layer is directly derived from the CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The municipalities are dissolved into their associated regional Councils of Governments.

This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with each municipality. This was included based on information from Connecticut County to County Subdivision Crosswalk from the US Census.

Connecticut’s 9 planning regions provide a geographic framework within which municipalities can jointly address common interests and coordinate such interests with state plans and programs. CGS Section 16a-4a authorizes the Secretary of the Office of Policy and Management (OPM) to designate or redesignate the boundaries of logical planning regions. CGS Section 4-124j authorizes the member municipalities of each planning region to establish a formal regional governance structure known as a council of governments (COG).

These regions have been recognized as county-equivalents and supersede the eight legacy counties in the state.

For more information see:

CT Office of Policy and Management, Regional Councils of Governments in Connecticut Final Change to County Equivalents in Connecticut [PDF] Final Federal Register Notice CT Office of the Secretary of the State, Regional Councils of Governments

Field name

Field description

CouncilsOfGovernments

Name of the Councils of Governments planning region.

CouncilsOfGovernmentsFIPS

US Census FIPS code associated with the Councils of Governments planning region.

StateFIPS

US Census FIPS code associated with the state.

CouncilOfGovernmentsFIPS_GEOID

Full US Census FIPS for the COG.

ObjectID

Unique Object ID.

CT MunicipalitiesCT CountiesCT Councils of GovernmentsCT Planning Regions

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

About this dataset

Context

The dataset tabulates the Windham County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Windham County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Windham County was 116,418, a 0.15% increase year-by-year from 2020. Previously, in 2020, Windham County population was 116,240, a decline of 0.55% compared to a population of 116,884 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Windham County increased by 7,234. In this period, the peak population was 118,543 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-windham-county-ct-population-by-year-2000-2021.jpeg" alt="Windham County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Windham County is shown in this column.
• Year on Year Change: This column displays the change in Windham County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Windham County Population by Year. You can refer the same here

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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

About this dataset

Context

The dataset tabulates the Hartford County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Hartford County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Hartford County was 896,854, a 0.12% decrease year-by-year from 2020. Previously, in 2020, Hartford County population was 897,932, an increase of 0.74% compared to a population of 891,349 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Hartford County increased by 38,512. In this period, the peak population was 897,932 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-hartford-county-ct-population-by-year-2000-2021.jpeg" alt="Hartford County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Hartford County is shown in this column.
• Year on Year Change: This column displays the change in Hartford County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Hartford County Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the New Haven County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Haven County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of New Haven County was 863,700, a 0.02% increase year-by-year from 2020. Previously, in 2020, New Haven County population was 863,498, an increase of 1.13% compared to a population of 853,818 in 2019. Over the last 20 plus years, between 2000 and 2021, population of New Haven County increased by 38,859. In this period, the peak population was 864,732 in the year 2012. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-new-haven-county-ct-population-by-year-2000-2021.jpeg" alt="New Haven County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the New Haven County is shown in this column.
• Year on Year Change: This column displays the change in New Haven County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

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About this dataset

Context

The dataset tabulates the Litchfield County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Litchfield County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2021, the population of Litchfield County was 185,000, a 0.07% increase year-by-year from 2020. Previously, in 2020, Litchfield County population was 184,874, an increase of 2.48% compared to a population of 180,396 in 2019. Over the last 20 plus years, between 2000 and 2021, population of Litchfield County increased by 2,421. In this period, the peak population was 189,762 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

https://i.neilsberg.com/ch/population-of-litchfield-county-ct-population-by-year-2000-2021.jpeg" alt="Litchfield County population by year">

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2021

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2021)
• Population: The population for the specific year for the Litchfield County is shown in this column.
• Year on Year Change: This column displays the change in Litchfield County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Litchfield County Population by Year. You can refer the same here

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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Google Mobility Changes: Workplaces: United States: Connecticut: Fairfield County data was reported at -27.000 % in 30 Sep 2022. This records an increase from the previous number of -28.000 % for 29 Sep 2022. Google Mobility Changes: Workplaces: United States: Connecticut: Fairfield County data is updated daily, averaging -32.000 % from Feb 2020 (Median) to 30 Sep 2022, with 959 observations. The data reached an all-time high of 4.000 % in 22 Feb 2020 and a record low of -86.000 % in 25 Nov 2021. Google Mobility Changes: Workplaces: United States: Connecticut: Fairfield County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Workplaces.

The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.