This product will include topics such as age, sex, race, Hispanic or Latino origin, household type, family type, relationship to householder, group quarters population, housing occupancy and housing tenure. Some tables will be iterated by race and ethnicity.

Table of INEBase Demographic phenomena, by type of demographic phenomenon. Annual. National. Vital Statistics: Deaths Statistics. Vital Statistics: Marriages . Vital Statistics: Births

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..A household that has at least one member of the household related to the householder by birth, marriage, or adoption is a "Family household." "Nonfamily households" consist of people living alone and households which do not have any members related to the householder..Household Type for the total population is available in table P16..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

Population Projections: Aging Index per year. Annual. Autonomous Communities and Cities.

2016-2020 ACS 5-Year estimates of demographic variables (see below) compiled at the tract level.The American Community Survey (ACS) 5 Year 2016-2020 demographic information is a subset of information available for download from the U.S. Census. Tables used in the development of this dataset include: B01001 - Sex By Age; B03002 - Hispanic Or Latino Origin By Race; B11001 - Household Type (Including Living Alone); B11005 - Households By Presence Of People Under 18 Years By Household Type; B11006 - Households By Presence Of People 60 Years And Over By Household Type; B16005 - Nativity By Language Spoken At Home By Ability To Speak English For The Population 5 Years And Over; B25010 - Average Household Size Of Occupied Housing Units By Tenure, and; B15001 - Sex by Educational Attainment for the Population 18 Years and Over; To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_ACS 5-Year Demographic Estimate Data by TractDate of Coverage: 2016-2020

This dataset contains information about the demographics of all US cities and census-designated places with a population greater or equal to 65,000. This data comes from the US Census Bureau's 2015 American Community Survey. This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 20,000 or more. Although the ACS produces population, demographic and housing unit estimates,it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

This dataset include the Tobacco/Nicotine Use Rates and Counts Table which provides rates and counts of tobacco and nicotine use for adults in Virginia, stratified by demographics, utilizing data sourced from the Behavioral Risk Factor Surveillance System (BRFSS), Virginia Adult Health Survey (VAHS), and Adult Tobacco Survey (ATS).

Population Projections: Emigrations abroad, by sex, generation and year. Annual. National.

Data are composed of complete tract summaries There are to be five record types for each tract. Record type 1 is total population. Record type 2 is white population. Record type3 is Negro population. Record type 4 is Spanish-American population. Record type 5 is housing characteristics. Data are presented for race and ethnic origin, age, family type, veteran status, education, income, employment status, class of worker, industry, and occupation. Selected housing characteristics such as value, rent and year structure built are also provided

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 2012 data provide key estimates for each of the topic areas covered by the ACS for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Although the ACS produces population, demographic and housing unit estimates,it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

Summary File 1 Data Profile 1 (SF1 Table DP-1) for cities and townships in Minnesota is a subset of the profile of general demographic characteristics for 2000 prepared by the U.S. Census Bureau.

This table includes: Sex and Age, Race, Race alone or in combination with one or more otehr races, Hispanic or Latino and Race, Relationship, Household by Type, Housing Occupancy, Housing Tenure

US Census 2000 Demographic Profiles: 100-percent and Sample Data

A profile includes four tables that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000.

The Demographic Profile consists of four tables (DP-1 thru DP-4). For Census 2000 data, the DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Cambridge. The dataset can be utilized to gain insights into gender-based income distribution within the Cambridge population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Cambridge, among individuals aged 15 years and older with income, there were 47,329 men and 48,100 women in the workforce. Among them, 27,053 men were engaged in full-time, year-round employment, while 22,665 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.59% fell within the income range of under $24,999, while 4.05% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 54.26% of men in full-time roles earned incomes exceeding $100,000, while 42% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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

Survey on Equipment and Use of Information and Communication Technologies in Households: Motives for not having made any purchases through the Internet by demographic characteristics and type of motive. National.

Survey on Equipment and Use of Information and Communication Technologies in Households: Persons who, in the last 3 months, have taken some sort of technological security precaution measure, by demographic characteristics and types of measures. National.

The vast majority of the Spanish population is omnivorous. As the latest surveys reveal, almost 90 percent of Spaniards followed an omnivorous diet in 2019, in contrast with 1.5 percent of the population that considered themselves vegetarians during the same period. Nonetheless, some studies also inform that about 20 percent of the population tried to eat less meat, poultry or fish in 2018.

Spain: the largest European fish consumer
Spaniards are big fans of fresh fish, and this can be proved by just taking a look at the latest figures, which position Spain as the largest consumer of fish in the European Union, at over 660 thousand metric tons in 2016, nearly doubling the numbers of Italy, which ranked second at 330 thousand metric tons. The average Spanish consumed more than ten kilograms of fresh fish in 2017, which is a significant larger number amount than that of frozen fish, which stood at approximately 2.5 kilograms per person the same year.

Meat consumption in Spain Spaniards consumed approximately 50 kilograms of meat per person in 2017. Fresh meat was the most consumed type of meat in Spain that year with nearly 35 kilograms per capita, followed by processed meat at 11.4 kilograms per head. Spaniards however spent more money on processed meat than on any other type of fresh meat, as was revealed by the latest figures. The Mediterranean country spent over 4 billion euros on processed meat, followed by pork and chicken, that recorded values of over 2 billion euros.

Basic Demographic Indicators: Median age of the population, by province, according to sex. Annual. Provinces.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Population Figures: Resident population by date, sex and age group. Semi-annual. Provinces.

The Nation is the series of basic data from the 1991 Census, providing national coverage. This series covers characteristics of the population, including demographic, social, cultural, labour force and income variables as well as details on dwellings, households and families. Generally the data are represented for Canada, provinces, territories and census metropolitan areas. Some tables include comparisons with data from earlier censuses. The aggregate data tables are presented in Beyond 20/20 Format (.ivt).