This layer is no longer being actively maintained. Please see the Esri Updated Demographics Variables 2023 layer for more recent data and additional variables.This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer is not being continuously updated or maintained.

Annual Demographic Statistics contains the following data: population estimates by age and sex for Canada, the provinces, territories, census divisions and census metropolitan areas; estimates by age, sex and marital status for the provinces and territories; and estimates of the number of census families for Canada, the provinces and territories, by type of family (husband-wife, lone-parent), size of family, age of children and age and sex of parents. It also includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, total emigration, internal migrations and non permanent residents) by age and sex. In addition, there are highlights of current demographic trends and a description of the methodology; population data from 1971 for provinces and territories, and from 1986 for census divisions and census metropolitan areas; and animated age pyramids, which illustrate the aging of the population.

This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. This data is featured on the Mapping page of www.esri.com

Reference Layer: Popular Demographics in the United States_This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer will not being continuously updated or maintained. Note: This data has been filtered from a national dataset: https://bcgis.maps.arcgis.com/home/item.html?id=2718975e52e24286acf8c3882b7ceb18 to only show Broward County Statistics

As of January 2025, ** percent of social media users in the United States aged 40 to 49 years were users of Facebook, as were ** percent of ** to ** year olds in the country. Overall, ** percent of those aged 18 to 29 years were using Instagram in the U.S. The social media market in the United States The number of social media users in the United States has shown continuous growth in the past years, and it is forecast to continue increasing to reach *** million users in 2029. As of 2023, the social network user penetration in the United States amounted to an impressive ***** percent, meaning that more than nine in ten people in the country engaged with online platforms. Furthermore, Facebook was by far the most popular social media platform in the United States, accounting for ** percent of all social media visits in 2023, followed by Pinterest with **** percent of visits. The global social media landscape As of April 2024, **** billion people were social media users, accounting for **** percent of the world’s population. Northern Europe was the region with the highest social media penetration rate with a reach of **** percent, followed by Western Europe with **** percent and Eastern Asia **** percent. In contrast, less than one in ten people in Middle Africa used social networks. Facebook’s popularity is not limited to the United States: this network leads the market on a global scale, and it accumulated more than three billion monthly active users (MAU) as of 2024, which is far more any other social media platform. YouTube, Instagram, and WhatsApp followed, all with *** billion or more MAU.

These data are the common data fields from the American Community Survey agreed upon by the Data Indicators GIS Subcommittee. The data source is Census Tract level data from the American Community Survey; 5 year average, years 2018-2022. The original census tract group boundaries have been adjusted to various Denver GIS data layers to increase the spatial accuracy of this data. Although every effort was made to ensure the accurate rectification of the data, due to geographic problems inherent in the original 2010 census block group data, errors may exist. The data-set does not contain data for any enclaves administered by other jurisdictions that are located within the City and County of Denver's boundary. This data is a sample, not a complete census. Data should be considered estimates and a margin of error table is located on the city network that can be used in conjunction with this dataset.

Update Frequency: Every Ten Years

June 12, 2012 - The Common Council adopted further technical revisions to the voting wards and aldermanic districts which were recommended by the Judiciary and Legislation Committee on June 4, 2012.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

This layer shows population broken down by race and Hispanic origin and is symbolized to show the proportion of different race categories excluding non-Hispanic White. This is shown by 2020 census tract boundaries. This map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are additional calculated attributes related to this topic, which can be mapped or used within analysis. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. This map uses services from these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. For more information regarding the ACS vintage, table sources and data processing notes, please see the item page for the source map service.

The list includes 4,250 first names and information on their respective count and proportions across six mutually exclusive racial and Hispanic origin groups. These six categories are consistent with the categories used in the Census Bureau's surname list.

According to a May 2025 forecast, a higher share of Gen Z users performed online activities, such as digital video consumption and social media usage. In total, over 96 percent of Gen Z were watching online videos, compared to around 80 percent of the general population.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: This is every separate or independent premise or structural enclosure, that has been constructed, made, converted, or prepared for permanent or temporary accommodations for poeple, such as any class of shelter, fixed or mobile, occupied as a place of lodging at the date of the census. Henceforth the dwelling can be constituted by: a) a house, apartment, floor, room or group of rooms, ranch, etc. private, destined to give lodging to a group of people or to only one person; b) A yacht, vehicle, railroad car, cargo, etc. such as any other class of shelter (barn, shed) occupied as a place of lodging at the date of the census. - Households: This is composed of all the occupying members of a family or private dwelling that have a life in common, under a family regimen and is found constituted in the great majority of the cases by the head of the family, the relatives of this person (wife or friend, children, grand-children, nephews, etc.), the close friends, the guests, the pensioners, the domestic employees and all other occupants. If in the private home there were cinco pensioners or less, it will continue to be considered as private, but if the said number were six or more, it will be considered as a non-family group. - Group quarters: This is made of all the inhabitants of a communal dwelling that, generally don't have family ties amongst one another but that create a life in common for reasons of health, discipline, religious life, etc.

Universe

Population in private and communal housing

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: General Office of Statistics and Censuses

SAMPLE SIZE (person records): 268248.

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the IPUMS

Mode of data collection

Face-to-face [f2f]

Research instrument

Single record that includes housing and population questionnaires

This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available for block group centroids. For more information about Esri Demographics, visit the Updated Demographics documentation. For a full list of the service variables, click the Data tab. For more information about publishing hosted scene layers, visit Publish Hosted Scene Layers.

In 2021, the majority of social shoppers in Indonesia discovered a product or brand through search engines, accounting for ** percent of social shoppers. Social commerce has become a popular form of e-commerce in Indonesia in recent years.

Includes data files and supplemental information. Supplemental information includes a reproducible RMarkdown file, an Excel sheet with metadata, and complete webpage files. Please note that CCD nonfiscal documentation files have been downloaded manually.From the Common Core of Data website:The Common Core of Data (CCD) is the Department of Education's primary database on public elementary and secondary education in the United States. CCD is a comprehensive, annual, national database of all public elementary and secondary schools and school districts.Information on the Common Core of Data (CCD)The primary purpose of the CCD is to provide basic information on public elementary and secondary schools, local education agencies (LEAs), and state education agencies (SEAs) for each state, the District of Columbia, and the outlying territories with a U.S. relationship. CCD is composed of two components: Nonfiscal CCD and Fiscal CCD.

This is an applied ontology contains an OBO Foundry compliant representation of the DEMOGRAPHICS Table of the PCORnet CDM 3.1.

The Agency Report Table aggregates pay and employment characteristics in accordance with the requirements of Local Law 18 of 2019. The Table is a point-in-time snapshot of employees who were either active or on temporary leave (parental leave, military leave, illness, etc.) as of December 31st of each year the data is available (see Column "Data Year"). In addition, the Table contains snapshot data of active employees in seasonal titles as of June 30th. To protect the privacy of employees, the sign “<5” is used instead of the actual number for groups of less than five (5) employees, in accordance with the Citywide Privacy Protection Policies and Protocols. The Pay and Demographics Report, and the list of agencies included is available on the MODA Open Source Analytics Library: https://modaprojects.cityofnewyork.us/local-law-18/ Each row represents a group of employees with a common agency, EEO-4 Job Category, pay band, employee status and demographic attributes, which include race, ethnicity and gender.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

Abstract

The 1996 Zambia Demographic and Health Survey (ZDHS) is a nationally representative survey conducted by the Central Statistical Office at the request of the Ministry of Health, with the aim of gathering reliable information on fertility, childhood and maternal mortality rates, maternal and child health indicators, contraceptive knowledge and use, and knowledge and prevalence of sexually transmitted diseases (STDs) including AIDS. The survey is a follow-up to the Zambia DHS survey carried out in 1992.

The primary objectives of the ZDHS are: - To collect up-to-date information on fertility, infant and child mortality and family planning; - To collect information on health-related matters such as breastfeeding, antenatal care, children's immunisations and childhood diseases; - To assess the nutritional status of mothers and children; iv) To support dissemination and utilisation of the results in planning, managing and improving family planning and health services in the country; and - To enhance the survey capabilities of the institutions involved in order to facilitate the implementation of surveys of this type in the future.

SUMMARY OF FINDINGS

FERTILITY

• Fertility Trends. The 1996 ZDHS survey results indicate that the level of fertility in Zambia is continuing to decline.
• Fertility Differentials. Some women are apparently leading the fertility decline. Moreover, women who have received some secondary education have the lowest level of fertility.
• Age at First Birth. Childbearing begins early in Zambia, with over one-third of women becoming mothers by the time they reach age 18 and around two-thirds having had a child by the time they reach age 20.
• Birth Intervals. The majority of Zambian children (81 percent) are born after a "safe" birth interval (24 or more months apart), with 36 percent born at least 36 months after a prior birth. Nevertheless, 19 percent of non-first births occur less than 24 months after the preceding birth. The overall median birth interval is 32 months.
• Fertility Preferences. Survey data indicate that there is a strong desire for children and a preference for large families in Zambian society.
• Unplanned Fertility. Despite the increasing level of contraceptive use, ZDHS data indicate that unplanned pregnancies are still common.

FAMILY PLANNING

• Increasing Use of Contraception. The contraceptive prevalence rate in Zambia has increased significantly over the past five years, rising from 15 percent in 1992 to 26 percent in 1996.
• Differentials in Family Planning Use. Differentials in current use of family planning by province are large.
• Source of Contraception. Six in ten users obtain their methods from public sources, while 24 percent use non-governmental medical sources and shops and friends account for the remaining 13 percent. Government health centres (41 percent) and government hospitals (16 percent) are the most common sources of contraceptive methods.
• Knowledge of Contraceptive Methods. Knowledge of contraceptive methods is nearly universal, with 96 percent of all women and men knowing at least one method of family planning.
• Family Planning Messages. One reason for the increase in level of contraceptive awareness is that family planning messages are prevalent.
• Unmet Need for Family Planning. ZDHS data show that there is a considerable unmet need for family planning services in Zambia.

MATERNAL AND CHILD HEALTH

• Maternal Health Care. ZDHS data show some encouraging results regarding maternal health care, as well as to some areas in which improvements could be made. Results show that most Zambian mothers receive antenatal care, 3 percent from a doctor and 93 percent from a nurse or trained midwife.
• High Childhood Mortality. One of the more disturbing findings from the survey is that child survival has not improved over the past few years.
• Childhood Vaccination Coverage. Vaccination coverage against the most common childhood illnesses has increased recently.
• Childhood Health. ZDHS data indicate that Zambian mothers are reasonably well-informed about childhood illnesses and that a high proportion are treated appropriately.
• Breastfeeding Practices. The ZDHS results indicate that breastfeeding is almost universally practised in Zambia, with a median duration of 20 months.
• Knowledge and Behaviour Regarding AIDS. Survey results indicate that virtually all respondents had heard of AIDS. Common sources of information were friends/relatives, the radio, and health workers. The vast majority of respondents--80 percent of women and 94 percent of men--say they have changed their behaviour in order to avoid contracting AIDS, mostly by restricting themselves to one sexual partner.

Geographic coverage

The 1996 Zambia Demographic and Health Survey (ZDHS) is a nationally representative survey. The sample was designed to produce reliable estimates for the country as a whole, for the urban and the rural areas separately, and for each of the nine provinces in the country.

Analysis unit

• Household
• women age 15-49
• Men age 15-59
• Children under five years

Universe

The survey covered all de jure household members (usual residents), all women of reproductive age, aged 15-49 years in the total sample of households, men aged 15-59 and Children under age 5 resident in the household.

Kind of data

Sample survey data

Sampling procedure

The 1996 ZDHS covered the population residing in private households in the country. The design for the ZDHS called for a representative probability sample of approximately 8,000 completed individual interviews with women between the ages of 15 and 49. It is designed principally to produce reliable estimates for the country as a whole, for the urban and the rural areas separately, and for each of the nine provinces in the country. In addition to the sample of women, a sub-sample of about 2,000 men between the ages of 15 and 59 was also designed and selected to allow for the study of AIDS knowledge and other topics.

SAMPLING FRAME

Zambia is divided administratively into nine provinces and 57 districts. For the Census of Population, Housing and Agriculture of 1990, the whole country was demarcated into census supervisory areas (CSAs). Each CSA was in turn divided into standard enumeration areas (SEAs) of approximately equal size. For the 1992 ZDHS, this frame of about 4,200 CSAs and their corresponding SEAs served as the sampling frame. The measure of size was the number of households obtained during a quick count operation carried out in 1987. These same CSAs and SEAs were later updated with new measures of size which are the actual numbers of households and population figures obtained in the census. The sample for the 1996 ZDHS was selected from this updated CSA and SEA frame.

CHARACTERISTICS OF THE AMPLE

The sample for ZDHS was selected in three stages. At the first stage, 312 primary sampling units corresponding to the CSAs were selected from the frame of CSAs with probability proportional to size, the size being the number of households obtained from the 1990 census. At the second stage, one SEA was selected, again with probability proportional to size, within each selected CSA. An updating of the maps as well as a complete listing of the households in the selected SEAs was carried out. The list of households obtained was used as the frame for the third-stage sampling in which households were selected for interview. Women between the ages of 15 and 49 were identified in these households and interviewed. Men between the ages of 15 and 59 were also interviewed, but only in one-fourth of the households selected for the women's survey.

SAMPLE ALLOCATION

The provinces, stratified by urban and rural areas, were the sampling strata. There were thus 18 strata. The proportional allocation would result in a completely self-weighting sample but would not allow for reliable estimates for at least three of the nine provinces, namely Luapula, North-Western and Western. Results of other demographic and health surveys show that a minimum sample of 800-1,000 women is required in order to obtain estimates of fertility and childhood mortality rates at an acceptable level of sampling errors. It was decided to allocate a sample of 1,000 women to each of the three largest provinces, and a sample of 800 women to the two smallest provinces. The remaining provinces got samples of 850 women. Within each province, the sample was distributed approximately proportionally to the urban and rural areas.

STRATIFICATION AND SYSTEMATIC SELECTION OF CLUSTERS

A cluster is the ultimate area unit retained in the survey. In the 1992 ZDHS and the 1996 ZDHS, the cluster corresponds exactly to an SEA selected from the CSA that contains it. In order to decrease sampling errors of comparisons over time between 1992 and 1996--it was decided that as many as possible of the 1992 clusters be retained. After carefully examining the 262 CSAs that were included in the 1992 ZDHS, locating them in the updated frame and verifying their SEA composition, it was decided to retain 213 CSAs (and their corresponding SEAs). This amounted to almost 70 percent of the new sample. Only 99 new CSAs and their corresponding SEAs were selected.

As in the 1992 ZDHS, stratification of the CSAs was only geographic. In each stratum, the CSAs were listed by districts ordered geographically. The procedure for selecting CSAs in each stratum consisted of: (1) calculating the sampling interval for the stratum: (2) calculating the cumulated size of each CSA; (3) calculating the series of sampling numbers R, R+I, R+21, .... R+(a-1)l, where R is a random number between 1 and 1; (4) comparing each sampling number with the cumulated sizes.

The reasons for not

IntroductionSevere acute respiratory syndrome coronavirus 2, (SARS-CoV-2,) caused an influx of patients with acute disease characterized by a variety of symptoms termed COVID-19 disease, with some patients going on to develop post-acute COVID-19 syndrome. Individual factors like sex or coping styles are associated with a person’s disease experience and quality of life. Individual differences in coping styles used to manage COVID-19 related stress correlate with physical and mental health outcomes. Our study sought to understand the relationship between COVID-19 symptoms, severity of acute disease, and coping profiles.MethodsAn online survey to assess symptoms, functional status, and recovery in a large group of patients was nationally distributed online. The survey asked about symptoms, course of illness, and included the Brief-COPE and the adapted Social Relationship Inventory. We used descriptive and cluster analyses to characterize patterns of survey responses.Results976 patients were included in the analysis. The most common symptoms reported by the patients were fatigue (72%), cough (71%), body aches/joint pain (66%), headache (62%), and fever/chills (62%). 284 participants reported PACS. We described three different coping profiles: outward, inward, and dynamic copers.DiscussionFatigue, cough, and body aches/joint pains were the most frequently reported symptoms. PACS patients were sicker, more likely to have been hospitalized. Of the three coping profiles, outward copers were more likely to be admitted to the hospital and had the healthiest coping strategies. Dynamic copers activated several coping strategies both positive and negative; they were also younger and more likely to report PACS.ConclusionCough, fatigue, and body aches/joint pain are common and most important to patients with acute COVID-19, while shortness of breath defined the experience for patients with PACS. Of the three coping profiles, dynamic copers were more likely to report PACS. Additional investigations into coping profiles in general, and the experience of COVID-19 and PACS is needed.