More than 39 million people and 14.2 million households span more than 163,000 square miles of Californian’s urban, suburban and rural communities. California has the fifth largest economy in the world and is the most populous state in the nation, with nation-leading diversity in race, ethnicity, language and socioeconomic conditions. These characteristics make California amazingly unique amongst all 50 states, but also present significant challenges to counting every person and every household, no matter the census year. A complete and accurate count of a state’s population in a decennial census is essential. The results of the 2020 Census will inform decisions about allocating hundreds of billions of dollars in federal funding to communities across the country for hospitals, fire departments, school lunch programs and other critical programs and services. The data collected by the United States Census Bureau (referred hereafter as U.S. Census Bureau) also determines the number of seats each state has in the U.S. House of Representatives and will be used to redraw State Assembly and Senate boundaries. California launched a comprehensive Complete Count Census 2020 Campaign (referred to hereafter as the Campaign) to support an accurate and complete count of Californians in the 2020 Census. Due to the state’s unique diversity and with insights from past censuses, the Campaign placed special emphasis on the hardest-tocount Californians and those least likely to participate in the census. The California Complete Count – Census 2020 Office (referred to hereafter as the Census Office) coordinated the State’s operations to complement work done nationally by the U.S. Census Bureau to reach those households most likely to be missed because of barriers, operational or motivational, preventing people from filling out the census. The Campaign, which began in 2017, included key phases, titled Educate, Motivate and Activate. Each of these phases were designed to make sure all Californians knew about the census, how to respond, their information was safe and their participation would help their communities for the next 10 years.

About this dataset

Context

The dataset tabulates the population of Mississippi by race. It includes the population of Mississippi across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Mississippi across relevant racial categories.

Key observations

The percent distribution of Mississippi population by race (across all racial categories recognized by the U.S. Census Bureau): 56.31% are white, 36.96% are Black or African American, 0.45% are American Indian and Alaska Native, 0.98% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 1.66% are some other race and 3.60% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Mississippi
• Population: The population of the racial category (excluding ethnicity) in the Mississippi is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mississippi total population. 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 Mississippi Population by Race & Ethnicity. You can refer the same here

This statistic shows the number of packages of Swiss Miss pudding eaten within one month in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, **** million Americans consumed * or more packages in 2020.

About this dataset

Context

The dataset tabulates the population of Natchez by race. It includes the population of Natchez across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Natchez across relevant racial categories.

Key observations

The percent distribution of Natchez population by race (across all racial categories recognized by the U.S. Census Bureau): 34.09% are white, 62.73% are Black or African American, 0.14% are American Indian and Alaska Native, 0.51% are Asian, 0.29% are some other race and 2.24% are multiracial.

https://i.neilsberg.com/ch/natchez-ms-population-by-race.jpeg" alt="Natchez population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Natchez
• Population: The population of the racial category (excluding ethnicity) in the Natchez is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Natchez total population. 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 Natchez Population by Race & Ethnicity. You can refer the same here

Brazil Population Census: South: Rio Grande do Sul: Guarani das Missões data was reported at 8,115.000 Person in 2010. This records a decrease from the previous number of 8,331.000 Person for 2007. Brazil Population Census: South: Rio Grande do Sul: Guarani das Missões data is updated yearly, averaging 8,660.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 11,076.000 Person in 1996 and a record low of 8,115.000 Person in 2010. Brazil Population Census: South: Rio Grande do Sul: Guarani das Missões data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC058: Population Census: by Municipality: South: Rio Grande do Sul.

The 1950 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1950, although some persons were missed. The 1950 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 1, 2022. The 1950 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1950 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.

Classification of ground-truthed locations: 85 locations were visited after census because the satellite image-sourced locations showed a potentially missed house.

A total of 148 muskox in 7 groups were counted. A few muskox were probably missed during the census and the total of 148 muskox represents the minimum re-calving population. Dispersal of muskox from the three largest muskox groups has involved only small bull groups to date and it is not likely that the true size of the population is significantly larger. Composition and location of muskox groups are presented in attached Table 1 and map. High productivity, low mortality and dispersal of mature bulls from larger muskox groups appears to be a continuing trend.

Brazil Population Census: South: Rio Grande do Sul: Campina das Missões data was reported at 6,117.000 Person in 2010. This records a decrease from the previous number of 6,342.000 Person for 2007. Brazil Population Census: South: Rio Grande do Sul: Campina das Missões data is updated yearly, averaging 6,678.000 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 7,644.000 Person in 1996 and a record low of 6,117.000 Person in 2010. Brazil Population Census: South: Rio Grande do Sul: Campina das Missões data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC058: Population Census: by Municipality: South: Rio Grande do Sul.

The 2001 census enumerated both de-facto and de-jure populations. It was intended that all information would be collected during an enumeration period of one week, the week from 11th October 2001. Census night for individual households was the night of 11 October 2001. Given the transport difficulties between Apia and Tokelau, and within Tokelau, and in order to restrict the enumeration period to less than one week, 9 interviewers were involved.

It is also obvious that in the conduct of a statistical operation as large and complex as a national census (even for Tokelau), it is inevitable that errors will occur due to questions being misunderstood, replies being incorrect or misinterpreted, etc. In fact, errors could have been introduced at all stages of the census, from planning, field operation stage, non-responses, non-call back to check on households that were missed during the actual enumeration and the training of enumerators (i.e. misunderstanding on the part of enumerators). Also errors could have been introduced at the data processing stage (editing, coding and data entry). In designing and carrying out the field procedures, including training procedures, efforts were made to reduce the effects of such errors on the results. However, it is clear that several errors still occurred.

Version 01: Cleaned, labelled and de-identified version of the Master file.

-HOUSEHOLD: Household characteristics, sanitation, water access, energy, waste disposal, household durables, remittances.
-INDIVIDUAL: Individual characteristics, religion, ethnicity, education, economic activities, fertility.

• Collection start: 2001
• Collection end: 2001

Hurricane Hugo struck the Caribbean national forest in September 1989. Files LFDP_HURRDAM.TXT and LFDP_HURRDAMa.TXT contain data on the damage to trees caused by the hurricane collected by Mr. R. DeLeon between August 1990 and September 1991. Mr. DeLeon walked throughout the plot to find stems >= 10 cm diameter that had apparently been damaged or killed by the hurricane in an effort to collect information before the damaged stems rotted. The information on these stems was later combined with the results of the first census to reconstruct the forest, as it would have appeared, at the time of Hurricane Hugo. This file contains the hurricane damage data collected for stems damaged by Hurricane Hugo combined with data for the stems recorded subsequently in the first complete LFDP census starting in 1990. Some stems that were measured in Census 1 survey 2 and survey 3 or Census 2 that were believed to have been missed in Census 1 survey 1, are also included (see census history above) and are assumed to have been undamaged by Hurricane Hugo. The structure of the data files is the same for both files LFDP_HURRDAM.TXT and LFDP_HURRDAMa.TXT but the diameter of the trees in LFDP_HURRDAMa.TXT have been calculated by extrapolating diameters backwards from subsequent measurements to the time of the Census 1 survey 1. Diameters in file LFDP_HURRDAMa.TXT can not be used for growth measurements. For our publications we treat files LFDP_HURRDAM.TXT and LFDP_HURRDAMa.TXT as one data set. The National Science Foundation requires that data from projects it funds are posted on the web two years after any data set has been organized and "cleaned". The data from each census of the LFDP will be updated at intervals as each survey of the LFDP shows errors in the previous data collection. After posting on the web, researchers who are not part of the project are then welcome to use the data. Given the enormous amount of time, effort and resources required to manage the LFDP, obtain these data, and ensure data accuracy, LFDP Principal Investigators request that researchers intending to use this data comply with the requests below. Through complying with these requests we can ensure that the data are interpreted correctly, analyses are not repeated unnecessarily, beneficial collaboration between users is promoted and the Principle Investigators investment in this project is protected. Submit to the LFDP PIs a short (1 page) description of how you intend to use the data; · Invite LFDP PIs to be co-authors on any publication that uses the data in a substantial way (some PIs may decline and other LFDP scientists may need to be included); If the LFDP PIs are not co-authors, send the PIs a draft of any paper using LFDP data, so that the PIs may comment upon it; In the methods section of any publication using LFDP data, describe that data as coming from the "Luquillo Forest Dynamics Plot, part of the Luquillo Experimental Forest Long-Term Ecological Research Program"; Acknowledge in any publication using LFDP data the "The Luquillo Experimental Forest Long-Term Ecological Research Program, supported by the U.S. National Science Foundation, the University of Puerto Rico, and the International Institute of Tropical Forestry"; · Supply the LFDP PIs with 10 reprints of any publication using LFDP data. · Accept that the LFDP PIs can not guarantee that the LFDP data you intend to use, has not already been submitted for publication or published.

Multi-level Associations between Current ART Use, ≥6 Month ART Use, and Missed HIV Care Appointments and Structural- and Individual- Level Characteristics.

The database presented here brings together an assortment of early census, property assessment, and poll tax records, providing a total of 69,807 personal names. None of the census, assessment or poll tax records presented here is complete for the province - even if they claimed to be so at the time. None of the individual returns is complete internally either; people and households were overlooked, and sections of communities were undoubtedly missed.

Comprehensive population and demographic data for Binsar Madhye Miss Shahib Village

About this dataset

Context

The dataset presents the median household income across different racial categories in Marks. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Marks population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 70.96% of the total residents in Marks. Notably, the median household income for Black or African American households is $26,173. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $61,047. This reveals that, while Black or African Americans may be the most numerous in Marks, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/marks-ms-median-household-income-by-race.jpeg" alt="Marks median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Marks.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Marks median household income by race. You can refer the same here

Brazil Population Census: South: Rio Grande do Sul: Palmeira das Missões data was reported at 34,328.000 Person in 2010. This records an increase from the previous number of 33,846.000 Person for 2007. Brazil Population Census: South: Rio Grande do Sul: Palmeira das Missões data is updated yearly, averaging 36,260.000 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 38,933.000 Person in 1996 and a record low of 33,846.000 Person in 2007. Brazil Population Census: South: Rio Grande do Sul: Palmeira das Missões data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC058: Population Census: by Municipality: South: Rio Grande do Sul.

Abstract copyright UK Data Service and data collection copyright owner.The UK censuses took place on 21st April 1991. They were run by the Census Office for Northern Ireland, General Register Office for Scotland, and the Office of Population and Surveys for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics, and underpin funding allocation to provide public services. The Northern Ireland Household Sample of Anonymised Records (SAR) is a 1% sample of households and all individuals in those households. It is a hierarchical file allowing linkages between individuals. The SARs were drawn from the fully coded set of Census records returned by households and institutions. They therefore omit wholly imputed households and also households that were missed by the Census. The NI Household SAR contains 81 variables, similar to those in the Individual file. However, the structure of the file allows a large number of other variables to be derived. The sampling strategy used is similar to that used in GB, however, while in GB only 10% of cases were fully coded, in Northern Ireland all cases were fully coded. Consequently the NI file was not drawn from a pre-existing 10% sample. New variables have been created for the hierarchical household file since summary information about a household can be computed from data about the individuals in that household. Further information, including guides and other documentation, may be found on the Cathie Marsh Centre for Survey Research Samples of Anonymised Records (SARS) website.

Brazil Population Census: South: Rio Grande do Sul: Boa Vista das Missões data was reported at 2,114.000 Person in 2010. This records an increase from the previous number of 2,066.000 Person for 2007. Brazil Population Census: South: Rio Grande do Sul: Boa Vista das Missões data is updated yearly, averaging 2,101.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 2,188.000 Person in 2000 and a record low of 2,066.000 Person in 2007. Brazil Population Census: South: Rio Grande do Sul: Boa Vista das Missões data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC058: Population Census: by Municipality: South: Rio Grande do Sul.

Racial identification is a critical factor in understanding a multitude of important outcomes in many fields. However, inferring an individual’s race from ecological data is prone to bias and error. This process was only recently improved via Bayesian Improved Surname Geocoding (BISG). With surname and geographic-based demographic data, it is possible to more accurately estimate individual racial identification than ever before. However, the level of geography used in this process varies widely. Whereas some existing work makes use of geocoding to place individuals in precise census blocks, a substantial portion either skips geocoding altogether or relies on estimation using surname or county-level analyses. Presently, the tradeoffs of such variation are unknown. In this letter we quantify those tradeoffs through a validation of BISG on Georgia’s voter file using both geocoded and non-geocoded processes and introduce a new level of geography--ZIP codes--to this method. We find that when estimating the racial identification of White and Black voters, non-geocoded ZIP code-based estimates are acceptable alternatives. However, census blocks provide the most accurate estimations when imputing racial identification for Asian and Hispanic voters. Our results document the most efficient means to sequentially conduct BISG analysis to maximize racial identification estimation while simultaneously minimizing data missingness and bias.