Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Harris 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 Harris 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 2023, the population of Harris County was 36,654, a 1.09% increase year-by-year from 2022. Previously, in 2022, Harris County population was 36,257, an increase of 1.88% compared to a population of 35,589 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Harris County increased by 12,785. In this period, the peak population was 36,654 in the year 2023. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County Population by Year. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Harris County population by year. The dataset can be utilized to understand the population trend of Harris County.
The dataset constitues the following datasets
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.
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Harris County, GA population pyramid, which represents the Harris County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County Population by Age. You can refer the same here
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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Real Gross Domestic Product Growth: Private Goods-Producing Industries in Harris County, GA was 158.00000 % Chg. from Preceding Period in January of 2024, according to the United States Federal Reserve. Historically, United States - Real Gross Domestic Product Growth: Private Goods-Producing Industries in Harris County, GA reached a record high of 358.00000 in January of 2005 and a record low of 72.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Gross Domestic Product Growth: Private Goods-Producing Industries in Harris County, GA - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Harris County, TX population pyramid, which represents the Harris County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Real Gross Domestic Product Growth: Private Services-Providing Industries in Harris County, TX was 0.00000 % Chg. from Preceding Period in January of 2015, according to the United States Federal Reserve. Historically, United States - Real Gross Domestic Product Growth: Private Services-Providing Industries in Harris County, TX reached a record high of 2.00000 in January of 2007 and a record low of 0.00000 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Gross Domestic Product Growth: Private Services-Providing Industries in Harris County, TX - last updated from the United States Federal Reserve on July of 2025.
DeprecatedUpdated for PY-2023 (effective March 1, 2023, to September 30, 2024). Deprecated October 1, 2024.What does the data represent?These are named polygons that follow block group boundaries that contain 51% or greater low-to-moderate income persons as published by HUD from 2011-2015 ACS data. That data has been superseded by data developed from 2016-2020 ACS data by HUD and published at https://services.arcgis.com/VTyQ9soqVukalItT/ArcGIS/rest/services/LMISD_layers/FeatureServer/4. Target areas primarily served residential areas, and each target area ideally could self-identify as the named community.Where were they located?Target Areas of Harris County fit within the Harris County Service Area, which was the unincorporated land of Harris County, Texas plus then-cooperative cities. Any portions of otherwise qualified block groups that extended into non-service area were excluded from the target area. This prevented “double-dipping” community development resource entitlements.How accurate are they?Block group boundaries in Harris County follow visual cues such as roadways and streams. Census Bureau linework attempts to delineate these bounding features but they are seldom more accurate than within thirty feet of ground truth.Full-service city boundaries determine whether an incorporated area is within the Harris County Service Area or the non-service area. These are updated roughly quarterly in the Harris County GIS Repository layer managed by the Harris County Appraisal District. Target areas have been updated each year using this data from the late autumn to the end of each calendar year.When were they collected?When HCCSD updated the Service Area and Target Areas of Harris County in the latter part of each Program Year, it uses the current HUD LMISD dataset and HCAD full-service city boundaries to perform the update. HUD publishes an updated LMISD dataset every year, but the data HUD analyzes to create these updates only changes when an additional five-year period of American Community Survey data has accumulated. Therefore the survey data reported in the HUD LMISD were collected from 4 to 8 years prior (PY2019) to as much as 9 to 13 years prior to publishing the results (PY2023). Unless a local income survey was conducted more recently between one and four years ago, each Program Year’s target area boundaries reflect LMISD block group information collected at least four to as much as thirteen years ago.Who collected them?Harris County Community Services Department (HCCSD) collected and Harris County Housing & Community Development (HCHCD) maintains Harris County Service Area and Target Area information. As representative of one of the largest urban counties in the U.S. and the largest in Texas, the Highest Elected Official in Harris County has delegated HCHCD to implement HUD-assisted community development activities on unincorporated land and on behalf of the cooperative cities. Cooperative cities are generally those of insufficient size to become entitled to HUD funds on their own, i.e. less than 50,000 population. Through 9/30/2024 Harris County maintained agreements with 12 cooperative cities, including: Deer Park, Galena Park, Humble, Jacinto City, Katy, La Porte, Morgan's Point, Seabrook, Shoreacres, South Houston, Tomball, and Webster in PY2023. Tomball ended its agreement 9/30/2024, thereafter becoming part of the non-service area.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Harris 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 Harris 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 2022, the population of Harris County was 36,276, a 1.88% increase year-by-year from 2021. Previously, in 2021, Harris County population was 35,605, an increase of 2.03% compared to a population of 34,896 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Harris County increased by 12,407. In this period, the peak population was 36,276 in the year 2022. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County Population by Year. You can refer the same here
Hospitals in Harris County
This layer is sourced from www.gis.hctx.net.
Locations of Harris County hospitals used for demonstration and increasing the capibilities of ITC development staff.
© ITC repository
DeprecatedUpdated for PY-2023 (effective March 1, 2023, to September 30, 2024). Deprecated October 1, 2024.What does the data represent?These are named polygons that follow block group boundaries that contain 51% or greater low-to-moderate income persons as published by HUD from 2011-2015 ACS data. That data has been superseded by data developed from 2016-2020 ACS data by HUD and published at https://services.arcgis.com/VTyQ9soqVukalItT/ArcGIS/rest/services/LMISD_layers/FeatureServer/4. Target areas primarily served residential areas, and each target area ideally could self-identify as the named community.Where were they located?Target Areas of Harris County fit within the Harris County Service Area, which was the unincorporated land of Harris County, Texas plus then-cooperative cities. Any portions of otherwise qualified block groups that extended into non-service area were excluded from the target area. This prevented “double-dipping” community development resource entitlements.How accurate are they?Block group boundaries in Harris County follow visual cues such as roadways and streams. Census Bureau linework attempts to delineate these bounding features but they are seldom more accurate than within thirty feet of ground truth.Full-service city boundaries determine whether an incorporated area is within the Harris County Service Area or the non-service area. These are updated roughly quarterly in the Harris County GIS Repository layer managed by the Harris County Appraisal District. Target areas have been updated each year using this data from the late autumn to the end of each calendar year.When were they collected?When HCCSD updated the Service Area and Target Areas of Harris County in the latter part of each Program Year, it uses the current HUD LMISD dataset and HCAD full-service city boundaries to perform the update. HUD publishes an updated LMISD dataset every year, but the data HUD analyzes to create these updates only changes when an additional five-year period of American Community Survey data has accumulated. Therefore the survey data reported in the HUD LMISD were collected from 4 to 8 years prior (PY2019) to as much as 9 to 13 years prior to publishing the results (PY2023). Unless a local income survey was conducted more recently between one and four years ago, each Program Year’s target area boundaries reflect LMISD block group information collected at least four to as much as thirteen years ago.Who collected them?Harris County Community Services Department (HCCSD) collected and Harris County Housing & Community Development (HCHCD) maintains Harris County Service Area and Target Area information. As representative of one of the largest urban counties in the U.S. and the largest in Texas, the Highest Elected Official in Harris County has delegated HCHCD to implement HUD-assisted community development activities on unincorporated land and on behalf of the cooperative cities. Cooperative cities are generally those of insufficient size to become entitled to HUD funds on their own, i.e. less than 50,000 population. Through 9/30/2024 Harris County maintained agreements with 12 cooperative cities, including: Deer Park, Galena Park, Humble, Jacinto City, Katy, La Porte, Morgan's Point, Seabrook, Shoreacres, South Houston, Tomball, and Webster in PY2023. Tomball ended its agreement 9/30/2024, thereafter becoming part of the non-service area.
https://www.icpsr.umich.edu/web/ICPSR/studies/20428/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/20428/terms
The Kinder Houston Area Survey is a longitudinal study that began in May 1982 after Houston, Texas, recovered from the recession of the mid-1980s. The overall purpose of this research was to measure systematically the public responses to the new economic, educational, and environmental challenges, and to make the findings of this continuing project readily available to civic and business leaders, to the general public, and to research scholars. Part 1, All Responses from 25 Successive Samples, contains all the responses from the successive representative samples of Harris County residents from 1982 through 2014. These are the data that enabled the project to analyze continuity and change among area residents over the course of 26 years. In 13 of the 14 surveys (the years from 1994 through 2014, the one exception being 1996), the surveys were expanded with oversample interviews in Houston's ethnic communities. Using identical random-selection procedures, and terminating after the first few questions if the respondent was not of the ethnic background required, additional interviews were conducted in each of the years to enlarge and equalize the samples of Anglo, African American, and Hispanic respondents at about 500 each. In 1995 and 2002, the research also included large representative samples (N=500) from Houston's Asian communities, with one-fourth of the interviews conducted in Vietnamese, Cantonese, Mandarin, or Korean -- the only such surveys in the country. These additional interviews are included in Part 2, Additional Oversample Interviews. The data contained in Part 2 are for Restricted-Use of Part 1, All Responses from 25 Successive Samples. The data contained in Part 3 are based on a 14-year total of 6,576 Anglos, 6,086 African Americans, 6,094 Hispanics, and 1,250 Asians, along with 387 others, and are of particular value in assessing the similarities and differences both within and among Houston's (and America's) four largest ethnic groups. Beginning in 2003, the data files have incorporated detailed information from the 2000 Census on the characteristics of the respondent's neighborhood, not only at the level of home ZIP code, but also by Census tract and block group. In Part 4, Restricted-Use information from 2000 Census, the data record the population and geographical area of each of the three sectors, distributions by ethnicity and immigrant status, age and gender composition, employment and commuting patterns, and levels of education and income. With this information incorporated in the datasets covering five years of expanded surveys, researchers are able to connect the respondents' perceptions and experiences with information on the neighborhoods in which they live, thereby adding a contextual dimension to analyses of the factors that account for individual differences in attitudes and beliefs. Conducted during February and March of each year, the interviews measured perspectives on the local and national economy, on poverty programs, inter-ethnic relationships. Also captured were respondents' beliefs about discrimination and affirmative action, education, crime, health care, taxation, and community service, as well as their assessments of downtown development, mobility and transit, land-use controls and environmental concerns, and their attitudes toward abortion, homosexuality, and other aspects of the social agenda. Also recorded were religious and political orientations, as well as an array of demographic and immigration characteristics, socioeconomic indicators, and family structures.
Vector polygon map data of city limits from Houston, Texas containing 731 features.
City limits GIS (Geographic Information System) data provides valuable information about the boundaries of a city, which is crucial for various planning and decision-making processes. Urban planners and government officials use this data to understand the extent of their jurisdiction and to make informed decisions regarding zoning, land use, and infrastructure development within the city limits.
By overlaying city limits GIS data with other layers such as population density, land parcels, and environmental features, planners can analyze spatial patterns and identify areas for growth, conservation, or redevelopment. This data also aids in emergency management by defining the areas of responsibility for different emergency services, helping to streamline response efforts during crises..
This city limits data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Food insecurity is a chronic problem in the United States that annually affects over 40 million people under normal conditions. This difficult reality can dramatically worsen after disasters. Such events can disrupt both the supply and demand sides of food systems, restricting food distribution and access precisely when households are in a heightened need for food assistance. Often, retailers and food banks must react quickly to meet local needs under difficult post-disaster circumstances. Residents of Harris County and Southeast Texas experienced this problem after Hurricane Harvey made landfall on the Texas Gulf Coast in August 2017. The primary data collected by this project relate specifically to the supply side. The data attempt to identify factors that impacted the ability of suppliers to help ensure access to food, with a focus on fresh food access. Factors included impacts to people, property and products due to hurricane-related damage to infrastructure. Two types of food suppliers were the foci of this research: food aid agencies and food retailers. The research team examined food aid agencies in Southeast Texas with data collection methods that included secondary data analysis, a focus group and an online survey. The second population studied was food retailers with in-person surveys with store managers. Food retailers were randomly sampled in three Texas counties: Jefferson, Orange, and Harris. The data collection methods resulted in 32 food aid agency online survey responses and 210 completed food retail in-person surveys. Data were collected five to eight months after the event, which helped to increase the reliability and validity of the data. The time-sensitive nature of post-disaster data requires research teams to quickly organize their efforts before entering the field. The purpose of this project archive is to share the primary data collected, document methods, and to help future research teams reduce the amount of time needed for project development and reporting. This archive does not contain Personally or Business Identifiable Information.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Houston/Galveston TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Jackson, Matagorda, Brazoria (portion), Harris (portion), Galveston, and Chambers. For all the counties listed, except for Harris, the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2006 with a point density of 1.4 m GSD. LiDAR data for Harris County was collected in October 2001 by the Harris County Flood Control District Tropical Storm Allison Recovery Project (TSARP) with a point density of 2.0 m GSD. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.
This statistic shows the 25 largest counties in the United States in 2022, by population. In 2022, about 9.72 million people were estimated to be living in Los Angeles County, California.
Additional information on urbanization in the United States
Urbanization is defined as the process by which cities grow or by which societies become more urban. Rural to urban migration in the United States, and around the world, is often undertaken in the search for employment or to enjoy greater access to services such as healthcare. The largest cities in the United States are steadily growing. Given their size, incremental increases yield considerable numerical gains as seen by New York increasing by 69,777 people in 2011, the most of any city. However in terms of percentage growth, smaller cities outside the main centers are growing the fastest, such as Georgetown city and Leander city in Texas.
Urbanization has increased slowly in the United States, rising from 80.77 percent of the population living in urban areas in 2010 to 82.66 percent in 2020. In 2018, the United States ranked 14th in a ranking of countries based on their degree of urbanization. Unlike fully urbanized countries such as Singapore and Hong Kong, the United States maintains a sizeable agricultural industry. Although technological developments have reduced demands for rural labor, labor in the industry and supporting services are still required.
Trails as reported by Precincts and displayed on each Precinct's Public Recreational Facilities Map, 2014"WIP" Work in Progress Will Keep "Work in Progress" status because this is the file that will be updated with new info. When this file is updated, will be pushed up to sde and is named "HC_Trails"11/3/14- addition of park trails within PCT4- from alignments (Cypresswood, Turkey Creek, Creek Course) Status noted as Development/Planned or Existing Park Trail -AP10/16/2013 Updated geometry using aerials, information using online precinct data10/10/14 Merged Spring Creek Greenway and Spring Creek Prelim near Dennis Johnston Park, Deleted Hutchison HB Trail from Pct 1 since they are not claiming it on 2014 Precinct Maps
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All-Transactions House Price Index for Houston-The Woodlands-Sugar Land, TX (MSA) (ATNHPIUS26420Q) from Q1 1976 to Q1 2025 about Houston, appraisers, HPI, TX, housing, price index, indexes, price, and USA.
The City of Houston Extraterritorial Jurisdiction (ETJ) Shapefile provides a geographic representation of areas outside incorporated city limits where local governments, particularly the City of Houston, exercise limited regulatory authority. Extraterritorial jurisdiction (ETJ) is a designated buffer zone extending beyond a city's boundaries, allowing municipalities to manage growth, enforce certain regulations, and influence development without full annexation.Houston’s ETJ extends up to 5 miles from its city limits, covering a significant portion of Harris County and overlapping with ETJs of smaller municipalities. This jurisdiction is essential for urban planning, infrastructure development, and regional coordination, as it helps cities guide land use, manage utilities, and prepare for future expansion while preventing conflicting regulations between neighboring jurisdictions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset illustrates the median household income in Harris County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.
Key observations:
From 2010 to 2023, the median household income for Harris County decreased by $4,972 (5.28%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.
Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.
Years for which data is available:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Harris 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 Harris 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 2023, the population of Harris County was 36,654, a 1.09% increase year-by-year from 2022. Previously, in 2022, Harris County population was 36,257, an increase of 1.88% compared to a population of 35,589 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Harris County increased by 12,785. In this period, the peak population was 36,654 in the year 2023. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Harris County Population by Year. You can refer the same here