Number and proportion of persons by sex, age and urbanization for different disability types and different disability cut-off points.
Find more Pacific data on PDH.stat.
This statistic presents the most popular first choice for performing searches as stated by adults in the United States as of April 2018. According to the findings, 44 percent of respondents stated their first choice in terms of performing searches was their mobile browser, while in comparison 16 percent stated their first choice being their search engine app or voice search.
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There are more male LinkedIn users than females – although it is pretty balanced.
According to an April 2024 survey, one-quarter of adults in the United States preferred to use social media as their primary choice for online search. Within different generations, Gen Z showed the highest interest in using social platforms over search engines to find information online, with around 46 percent of those respondents stating they preferred this method.
Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.
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The most significant cohorts of users on Instagram are aged 18 – 24.
https://data.norge.no/nlod/en/2.0/https://data.norge.no/nlod/en/2.0/
Husbankens Statbank is a self-service system where you can collect your own statistics. Here you will find updated figures for consumption of Housing Bank’s schemes and you can collect your own statistics. With a certain lag, these figures are published in the self-service solution. Here you can find figures for the consumption of starting loans per municipality, county, region, by user group and income groups back to 2006. The same applies to housing support, grants and basic loans. In addition, you will also find a more comprehensive reporting of Husbanken’s schemes in our quarterly and annual reports, which can be found on our website www.husbanken.no If you have questions about the figures or about the use of the self-service statistics bank, you can send an email to the statistics group(@)husbanken.no
https://technotrenz.com/privacy-policy/https://technotrenz.com/privacy-policy/
Search Engine Statistics: Search engines are now widely used and have built a big industry that affects how other businesses run. Here are Search Engine Statistics to show you the current trends and possible future changes in the search industry.
Search engines are here to stay, but how people look for information online is changing. Most users now search using mobile devices. Google is still the leader, even with more competition, and more Americans are worried about privacy when using search engines.
Upvote! The database contains +40,000 records on US Gross Rent & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 325,272 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to upvote. Upvote right now, please. Enjoy!
Get the full free database with coupon code: FreeDatabase, See directions at the bottom of the description... And make sure to upvote :) coupon ends at 2:00 pm 8-23-2017
The data set originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.
Only proper citing is required please see the documentation for details. Have Fun!!!
Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.
For any questions, you may reach us at research_development@goldenoakresearch.com. For immediate assistance, you may reach me on at 585-626-2965
please note: it is my personal number and email is preferred
Check our data's accuracy: Census Fact Checker
Don't settle. Go big and win big. Optimize your potential**. Access all gross rent records and more on a scale roughly equivalent to a neighborhood, see link below:
A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.
The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated).
The variables for part 1 of the dataset are:
Download lookup file for part 1 from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
Footnotes
Te Whata
Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.
Geographical boundaries
Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.
Subnational census usually resident population
The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.
Population counts
Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
Study participation time series
In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Concept descriptions and quality ratings
Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.
Disability indicator
This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.
Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.
Using data for good
Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.
Confidentiality
The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.
Measures
Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.
Percentages
To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.
Symbol
-997 Not available
-999 Confidential
Inconsistencies in definitions
Please note that there may be differences in definitions between census classifications and those used for other data collections.
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United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data was reported at 329.200 Person th in Jun 2018. This records an increase from the previous number of 328.100 Person th for May 2018. United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data is updated monthly, averaging 265.250 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 329.200 Person th in Jun 2018 and a record low of 209.200 Person th in Nov 1990. United States Employment: NF: sa: IF: ISPs, Search Portals & Data Processing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This finding aid will assist researchers that are exploring historical immigration statistics in Canada from 1902-1907. The relevant data are gathered from the reports of immigration officials that were recorded in Dominion of Canada Parliamentary Sessional Papers from the time. The direct source of the data utilized are digitized representations that are made available by the Internet Archive. This finding aid was completed in December 2020 by Master of Library and Information Science students from the Faculty of Information and Media Studies at Western University.
Statistics on civilian search and rescue helicopter (SARH) activity in the United Kingdom, based on details of taskings recorded by the Aeronautical Rescue Coordination Centre (ARCC).
During April to September 2020:
There was a particular drop in taskings in April 2020 (64 taskings) compared to April 2019 (233 taskings). This captures the impact on SARH taskings of national lockdown in response to COVID-19.
There was an increase in taskings in August 2020 (365 taskings) compared to August 2019 (295 taskings). This was driven by an increase in beach-based taskings. This may be related to summer 2020 travel behaviour and preference for domestic holidays in response to the coronavirus pandemic.
Notes and definitions and guidance about quality of these statistics is available.
Explore the data via our https://maps.dft.gov.uk/sarh-statistics/interactive-dashboard" class="govuk-link">interactive search and rescue helicopter statistics dashboard covering SARH taskings from April 2015 onwards.
The department is reviewing the frequency of the search and rescue helicopter statistical series and is proposing to reduce it from two publications a year to one annual release in the summer. The next biannual statistics release for April to September 2021 will not be impacted by this review, and will still be released.
We welcome any feedback from users on the proposed new timings (including any negative impact of the reduced frequency) and presentation of the statistics.
Search and rescue helicopter statistics
Email mailto:SARH.stats@dft.gov.uk">SARH.stats@dft.gov.uk
Media enquiries 0300 7777 878
As of June 2025, users aged 25 to 34 years made up Facebook's largest audience in the United States, accounting for **** percent of the social network's user base, with **** percent of those users being women. Overall, *** percent of users aged 35 to 44 years were women, and *** percent were men. How many people use Facebook in the United States? ******** is by far the most used social network in the world and finds a huge share of its audience in ****************** Facebook’s U.S. audience size comes second only to India. In 2023, there were over *** million Facebook users in the U.S. By 2028, it is estimated that around *** million people in the U.S. will be signed up for the platform. How do users in the United States view the platform? Although Facebook is widely used and very popular with U.S. consumers, there are issues of trust with its North American audience. As of November 2021, ** percent of respondents reported that they did not trust Facebook with their personal data. Despite having privacy doubts, a May 2022 survey found that ** percent of adults had a very favorable opinion of Facebook, and one-third held a somewhat positive view of the platform.
This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf). SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.
Around ** percent of search engine referrals in Saudi Arabia in December 2024 were through Google. In comparison, **** percent of the referrals in the kingdom in the same period were through Bing.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.
Map shows the percentage change in the census usually resident population count between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
Footnotes
Geographical boundaries
Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.
Subnational census usually resident population
The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Census usually resident population count concept quality rating
The census usually resident population count is rated as very high quality.
Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Using data for good
Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.
Confidentiality
The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.
Symbol
-998 Not applicable
The Home Office has changed the format of the published data tables for a number of areas (asylum and resettlement, entry clearance visas, extensions, citizenship, returns, detention, and sponsorship). These now include summary tables, and more detailed datasets (available on a separate page, link below). A list of all available datasets on a given topic can be found in the ‘Contents’ sheet in the ‘summary’ tables. Information on where to find historic data in the ‘old’ format is in the ‘Notes’ page of the ‘summary’ tables. The Home Office intends to make these changes in other areas in the coming publications. If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.
Immigration statistics, year ending March 2020
Immigration Statistics Quarterly Release
Immigration Statistics User Guide
Publishing detailed data tables in migration statistics
Policy and legislative changes affecting migration to the UK: timeline
Immigration statistics data archives
https://assets.publishing.service.gov.uk/media/5f1e9c14e90e0745691135e9/asylum-summary-mar-2020-tables.xlsx">Asylum and resettlement summary tables, year ending March 2020 second edition (MS Excel Spreadsheet, 123 KB)
Detailed asylum and resettlement datasets
https://assets.publishing.service.gov.uk/media/5ebe9d9786650c2791ec7166/sponsorship-summary-mar-2020-tables.xlsx">Sponsorship summary tables, year ending March 2020 (MS Excel Spreadsheet, 72.7 KB)
https://assets.publishing.service.gov.uk/media/5ebe9d77d3bf7f5d37fa0d9f/visas-summary-mar-2020-tables.xlsx">Entry clearance visas summary tables, year ending March 2020 (MS Excel Spreadsheet, 66.1 KB)
Detailed entry clearance visas datasets
https://assets.publishing.service.gov.uk/media/5ebe9e4b86650c279626e5f2/passenger-arrivals-admissions-summary-mar-2020-tables.xlsx">Passenger arrivals (admissions) summary tables, year ending March 2020 (MS Excel Spreadsheet, 76.1 KB)
Detailed Passengers initially refused entry at port datasets
https://assets.publishing.service.gov.uk/media/5ebe9edb86650c2791ec7167/extentions-summary-mar-2020-tables.xlsx">Extensions summary tables, year ending March 2020 (MS Excel Spreadsheet, 41.8 KB)
Summary statistics on search and rescue (SAR) incidents, callouts and people assisted by military units in the UK, Falklands and Cyprus.
This dataset is a polygon coverage of counties limited to the extent of the Fire Clay coal zone resource areas and attributed with statistics on these coal quality parameters: ash yield (percent), sulfur (percent), SO2 (lbs per million Btu), calorific value (Btu/lb), arsenic (ppm) content and mercury (ppm) content. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C. The attributes were generated from public data found in the geochemical dataset found in Chap. F, Appendix 7, Disc 1. Please see the metadata file found in Chap. F, Appendix 8, Disc 1, for more detailed information on the geochemical attributes. The county statistical data used for this data set are found in Tables 2-5 and 17-18, Chap. F, Disc 1. Additional county geochemical statistics for other parameters are found in Tables 6-16, Chap. F, Disc 1.
Number and proportion of persons by sex, age and urbanization for different disability types and different disability cut-off points.
Find more Pacific data on PDH.stat.