The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.
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The total population in India was estimated at 1398.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - India Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
In 1800, the population of the region of present-day India was approximately 169 million. The population would grow gradually throughout the 19th century, rising to over 240 million by 1900. Population growth would begin to increase in the 1920s, as a result of falling mortality rates, due to improvements in health, sanitation and infrastructure. However, the population of India would see it’s largest rate of growth in the years following the country’s independence from the British Empire in 1948, where the population would rise from 358 million to over one billion by the turn of the century, making India the second country to pass the billion person milestone. While the rate of growth has slowed somewhat as India begins a demographics shift, the country’s population has continued to grow dramatically throughout the 21st century, and in 2020, India is estimated to have a population of just under 1.4 billion, well over a billion more people than one century previously. Today, approximately 18% of the Earth’s population lives in India, and it is estimated that India will overtake China to become the most populous country in the world within the next five years.
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BackgroundAddressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism.MethodsWe used California census data from three decennial census spanning 1920–1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated “color or race” at the population level.ResultsSurname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60–0.67 across census years), followed by the Indian (0.54–0.61) and Japanese (0.51–0.62) surname lists. Sensitivity was much lower for Korean (0.40–0.45) and Filipino (0.10–0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920–1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup.DiscussionSurname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated “color or race.” These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.
In the past four centuries, the population of the United States has grown from a recorded 350 people around the Jamestown colony of Virginia in 1610, to an estimated 331 million people in 2020. The pre-colonization populations of the indigenous peoples of the Americas have proven difficult for historians to estimate, as their numbers decreased rapidly following the introduction of European diseases (namely smallpox, plague and influenza). Native Americans were also omitted from most censuses conducted before the twentieth century, therefore the actual population of what we now know as the United States would have been much higher than the official census data from before 1800, but it is unclear by how much. Population growth in the colonies throughout the eighteenth century has primarily been attributed to migration from the British Isles and the Transatlantic slave trade; however it is also difficult to assert the ethnic-makeup of the population in these years as accurate migration records were not kept until after the 1820s, at which point the importation of slaves had also been illegalized. Nineteenth century In the year 1800, it is estimated that the population across the present-day United States was around six million people, with the population in the 16 admitted states numbering at 5.3 million. Migration to the United States began to happen on a large scale in the mid-nineteenth century, with the first major waves coming from Ireland, Britain and Germany. In some aspects, this wave of mass migration balanced out the demographic impacts of the American Civil War, which was the deadliest war in U.S. history with approximately 620 thousand fatalities between 1861 and 1865. The civil war also resulted in the emancipation of around four million slaves across the south; many of whose ancestors would take part in the Great Northern Migration in the early 1900s, which saw around six million black Americans migrate away from the south in one of the largest demographic shifts in U.S. history. By the end of the nineteenth century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. Twentieth and twenty-first century The U.S. population has grown steadily throughout the past 120 years, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. In the past century, the U.S. established itself as a global superpower, with the world's largest economy (by nominal GDP) and most powerful military. Involvement in foreign wars has resulted in over 620,000 further U.S. fatalities since the Civil War, and migration fell drastically during the World Wars and Great Depression; however the population continuously grew in these years as the total fertility rate remained above two births per woman, and life expectancy increased (except during the Spanish Flu pandemic of 1918).
Since the Second World War, Latin America has replaced Europe as the most common point of origin for migrants, with Hispanic populations growing rapidly across the south and border states. Because of this, the proportion of non-Hispanic whites, which has been the most dominant ethnicity in the U.S. since records began, has dropped more rapidly in recent decades. Ethnic minorities also have a much higher birth rate than non-Hispanic whites, further contributing to this decline, and the share of non-Hispanic whites is expected to fall below fifty percent of the U.S. population by the mid-2000s. In 2020, the United States has the third-largest population in the world (after China and India), and the population is expected to reach four hundred million in the 2050s.
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NOTE: For information on confidentiality protection, nonsampling error, and definitions, see http://www.census.gov/prod/cen2010/doc/sf2.pdf.Summary File 2 has a population threshold of 100. Data are available only for the population groups having a population of 100 or more of that specific group within a particular geographic area. .Source: U.S. Census Bureau, 2010 Census..NOTE 2: "Families" consist of a householder and one or more other people related to the householder by birth, marriage, or adoption. They do not include same-sex married couples even if the marriage was performed in a state issuing marriage certificates for same-sex couples. Responses of "same-sex spouse" were edited during processing to "unmarried partner.".NOTE 1: In this table, when a category other than Total Population is selected, all persons in the household are classified by the race, Hispanic or Latino origin, or tribe/tribal grouping of the householder.
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Context
The dataset tabulates the Indian Village Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Indian Village, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Indian Village.
Key observations
Among the Hispanic population in Indian Village, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 25 (100% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
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 Indian Village Population by Race & Ethnicity. You can refer the same here
The 1980 American Indian supplementary file provides information on the American Indian, Eskimo, and Aleut populations beyond that obtained from the regular 1980 census questionnaire. The questionnaire was used on all federal and state reservations and in the historic areas of Oklahoma (excluding urbanized areas) to obtain information about the unique living conditions present on many reservations and in those specified areas of Oklahoma. Population items from the supplementary questionnaire include: tribal affiliation, educational attainment, health services received, occupation, work history, benefits received, and income. Housing items include: source of water, source of heat, kitchen facilities, telephone, electrical lighting, and materials and age of structure. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08664.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
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NOTE: For information on confidentiality protection, nonsampling error, and definitions, see http://www.census.gov/prod/cen2010/doc/sf2.pdf.Summary File 2 has a population threshold of 100. Data are available only for the population groups having a population of 100 or more of that specific group within a particular geographic area. .Source: U.S. Census Bureau, 2010 Census..NOTE: In this table, when a category other than Total Population is selected, all persons in the household are classified by the race, Hispanic or Latino origin, or tribe/tribal grouping of the householder.
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<ul style='margin-top:20px;'>
<li>India population density for 2021 was <strong>475.65</strong>, a <strong>0.83% increase</strong> from 2020.</li>
<li>India population density for 2020 was <strong>471.76</strong>, a <strong>0.98% increase</strong> from 2019.</li>
<li>India population density for 2019 was <strong>467.19</strong>, a <strong>1.05% increase</strong> from 2018.</li>
</ul>Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.
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Rural population (% of total population) in India was reported at 63.13 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Historical census data (2006, 2011, 2016 and 2021) on highest certificate, diploma or degree of Indigenous populations, including percentages. Provides data for the Pan-Canadian Education Indicators Program (PCEIP).
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<ul style='margin-top:20px;'>
<li>India population growth rate for 2022 was <strong>0.79%</strong>, a <strong>0.03% decline</strong> from 2021.</li>
<li>India population growth rate for 2021 was <strong>0.82%</strong>, a <strong>0.15% decline</strong> from 2020.</li>
<li>India population growth rate for 2020 was <strong>0.97%</strong>, a <strong>0.07% decline</strong> from 2019.</li>
</ul>Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.
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Context
The dataset tabulates the Indian Beach Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Indian Beach, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Indian Beach.
Key observations
Among the Hispanic population in Indian Beach, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 6 (100% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
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 Indian Beach Population by Race & Ethnicity. You can refer the same here
The population of India is divided into several groups based on social, educational, and financial statuses. The formation of these groups is a result of the historical social structure of the country. Between 2019 and 2021, Other Backward Class (OBC) constituted the largest part of Indian households accounting for about ** percent. On the other hand, Schedule Tribes formed about *** percent of households. How prosperous is India’s caste-based society? India suffers from extreme social and economic inequality. The combined share of Schedule Tribe and Schedule Caste in the affluent population of India was less than ** percent. Contrary to this, economically and socially stronger groups constituted the major part of the affluent population. Hence, indicating a strong relationship between caste and prosperity. India’s thoughts on caste-based reservation The constitution of India provides reservations to the weaker sections of the society for their upliftment and growth. However, the need for reservation has increased with time, making the whole situation even more complicated. People are divided over the existence of a system that provides preference to certain castes or sects. In a survey conducted in 2016 about providing employment reservation to young adults of Schedule Caste and Schedule Tribe, many people expressed opposition. More than ** percent of opposition came from upper Hindu caste. Minimum opposition was observed from the people belonging to Schedule Tribe and Schedule Caste.
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Context
The dataset tabulates the Indian Lake Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Indian Lake, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Indian Lake.
Key observations
Among the Hispanic population in Indian Lake, regardless of the race, the largest group is of Mexican origin, with a population of 682 (94.85% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
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 Indian Lake Population by Race & Ethnicity. You can refer the same here
The National Household Survey (NHS) was conceived to replace the mandatory long-form census questionnaire. The content of the NHS 2011 is similar to the past long-form questionnaire, although some questions and sections have changed. This profile presents information from the 2011 National Household Survey (NHS) for various levels of geography, including provinces and territories, census metropolitan areas/census agglomerations, census divisions, census subdivisions, dissemination areas, federal electoral districts, and forward sortation areas. The forward sortation areas profile was created as a custom tabulation by the University of Toronto, and subsequently shared with ODESI and the DLI. NHS data topics include: Immigration and Ethnocultural Diversity; Aboriginal Peoples; Education and Labour; Mobility and Migration; Language of work; Income and Housing. 2011 Census data topics include: Population and dwelling counts; Age and sex; Families, households and marital status; Structural type of dwelling and collectives; and Language. The Aboriginal Population Profile presents information on the Aboriginal identity population from the 2011 National Household Survey (NHS). The profile for the NHS Special Collection for 13 Indian reserves and Indian settlements in Northern Ontario provides information from a special data collection following the 2011 National Household Survey (NHS).
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Historical census data (2006, 2011, 2016 and 2021) on highest certificate, diploma or degree of Indigenous populations, including percentages. Provides data for the Pan-Canadian Education Indicators Program (PCEIP).
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Context
The dataset tabulates the Indian Springs Village Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Indian Springs Village, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Indian Springs Village.
Key observations
Among the Hispanic population in Indian Springs Village, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 13 (72.22% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
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 Indian Springs Village Population by Race & Ethnicity. You can refer the same here
Data quality:Hamilton, City (C)Total non-response (TNR) rate, short-form census questionnaire: 2.5%Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 44: Users should be aware that the estimates associated with this variable are more affected than most by the incomplete enumeration of certain reserves and settlements in the Census of Population.For more information on Indigenous variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Indigenous Peoples Reference Guide Census of Population 2021 and the Indigenous Peoples Technical Report Census of Population 2021. 45: This category includes persons who identify as First Nations (North American Indian) Métis and/or Inuk (Inuit) and/or those who report being Registered or Treaty Indians (that is registered under the Indian Act of Canada) and/or those who report having membership in a First Nation or Indian band. 46: This category includes persons who identify as only one Indigenous group that is First Nations (North American Indian) Métis or Inuk (Inuit). 47: This category includes persons who identify as any two or all three of the following: First Nations (North American Indian) Métis and/or Inuk (Inuit). 48: This category includes persons who do not identify as First Nations (North American Indian) Métis or Inuk (Inuit) but who report having Registered or Treaty Indian status and/or Membership in a First Nation or Indian band. 49: Registered or Treaty Indian status refers to whether or not a person is a Registered or Treaty Indian. Registered Indians are persons who are registered under the Indian Act of Canada. Treaty Indians are persons who belong to a First Nation or Indian band that signed a treaty with the Crown. Registered or Treaty Indians are sometimes also called Status Indians. 68: 'Indigenous ancestry' refers to whether a person has ancestry associated with the Indigenous peoples of Canada that is First Nations (North American Indian) Métis and/or Inuit. Aboriginal peoples (referred to here as Indigenous peoples) of Canada are defined in the Constitution Act 1982 Section 35 (2) as including the Indian Inuit and Métis peoples of Canada. The term 'Aboriginal' has been replaced with the updated term of 'Indigenous' when referring to individuals who identify themselves as First Nations people Métis and/or Inuit. Ancestry refers to the ethnic or cultural origins of the person's ancestors an ancestor being usually more distant than a grandparent. A person can have more than one ethnic or cultural origin.Users should be aware that the estimates associated with this variable are more affected than most by the incomplete enumeration of certain reserves and settlements in the Census of Population. For more information on Indigenous variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Indigenous Peoples Reference Guide Census of Population 2021 and the Indigenous Peoples Technical Report Census of Population 2021. 69: 'Indigenous ancestry (only)' includes persons who have First Nations (North American Indian) Métis and/or Inuit ancestry. It excludes persons with non-Indigenous ancestry. 70: 'Single Indigenous ancestry (only)' includes persons who have only one of First Nations (North American Indian) Métis or Inuit ancestry. It excludes persons with non-Indigenous ancestry. 71: 'Multiple Indigenous ancestries (only)' includes persons who have two or more of First Nations (North American Indian) Métis and Inuit ancestries. It excludes persons with non-Indigenous ancestry. 72: 'Indigenous and non-Indigenous ancestries' includes persons who have First Nations (North American Indian) Métis and/or Inuit ancestry as well as non-Indigenous ancestry. 73: 'Single Indigenous and non-Indigenous ancestries' includes persons who have First Nations (North American Indian) Métis or Inuit ancestry as well as non-Indigenous ancestry. 74: 'Multiple Indigenous and non-Indigenous ancestries' includes persons who have two or more of First Nations (North American Indian) Métis and Inuit ancestries as well as non-Indigenous ancestry. 75: 'Non-Indigenous ancestry (only)' includes persons who have non-Indigenous ancestry only.
The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.