With roughly three billion monthly active users as of the second quarter of 2023, Facebook is the most used online social network worldwide. The platform surpassed two billion active users in the second quarter of 2017, taking just over 13 years to reach this milestone. In comparison, Meta-owned Instagram took 11.2 years, and Google’s YouTube took just over 14 years to achieve this landmark. As of January 2022, Facebook’s leading audience base was in India, with almost 330 million users whilst the United States ranked second with an approximate total of 179 million users. The platform also finds remarkable popularity in Indonesia and Brazil. Social Media usage in the United States In January 2021, Facebook was the platform on which users in the United States spent the most time per day. The average time spent on Facebook was 33 minutes, followed by TikTok with 32 minutes and Twitter with 31 daily minutes. Due to the COVID-19 outbreak in 2020, all major social media platforms saw an increase in daily usage, which then either plateaued or decreased in 2021. At the end of 2021, over a quarter of all Facebook users in the United States belonged to the 25 to 34 year age group and 18.2 percent of users were in the 35 to 44 year age group. In general, Facebook users were more likely to be female. Meta Platforms Meta is Facebook’s recently renamed parent company and had a grand total of 3.59 billion core product users by the final quarter of 2021. Other Meta products include Instagram, Facebook Messenger, WhatsApp and Oculus – Meta’s virtual reality subsidiary which produces VR headsets. In 2021, Meta's revenue amounted to 117 billion US dollars, up from around 86 billion U.S. dollars in the previous financial year.

The revenue of Norwegian newspaper companies steadily decreased between 2014 and 2020, but in the most recent year measured, 2023, amounted to 12.22 billion Norwegian kronor, up from 11.24 billion NOK in 2020. In comparison, the 2014 figure was over 13.5 billion.

The net income of Pdf Solutions with headquarters in the United States amounted to 3.1 million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2011 this is a total increase by approximately 1.22 million U.S. dollars. The trend from 2011 to 2023 shows, however, that this increase did not happen continuously.

Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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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).

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The variables for part 1 of the dataset are:

• Census usually resident population count
• Census night population count
• Age (5-year groups)
• Age (life cycle groups)
• Median age
• Birthplace (NZ born/overseas born)
• Birthplace (broad geographic areas)
• Ethnicity (total responses) for level 1 and ‘Other Ethnicity’ grouped by ‘New Zealander’ and ‘Other Ethnicity nec’
• Māori descent indicator
• Languages spoken (total responses)
• Official language indicator
• Gender
• Cisgender and transgender status – census usually resident population count aged 15 years and over
• Sex at birth
• Rainbow/LGBTIQ+ indicator for the census usually resident population count aged 15 years and over
• Sexual identity for the census usually resident population count aged 15 years and over
• Legally registered relationship status for the census usually resident population count aged 15 years and over
• Partnership status in current relationship for the census usually resident population count aged 15 years and over
• Number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Average number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Religious affiliation (total responses)
• Cigarette smoking behaviour for the census usually resident population count aged 15 years and over
• Disability indicator for the census usually resident population count aged 5 years and over
• Difficulty communicating for the census usually resident population count aged 5 years and over
• Difficulty hearing for the census usually resident population count aged 5 years and over
• Difficulty remembering or concentrating for the census usually resident population count aged 5 years and over
• Difficulty seeing for the census usually resident population count aged 5 years and over
• Difficulty walking for the census usually resident population count aged 5 years and over
• Difficulty washing for the census usually resident population count aged 5 years and over.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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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.

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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.

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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.

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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”.

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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.

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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.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.

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Symbol

-997 Not available

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

Source: U.S. Department of Transportation, Bureau of Transportation Statistics, based upon U.S. Department of Commerce, U.S. Census Bureau, Foreign Trade Division, USA Trade Online, "HS Port-level Data", available at https://usatrade.census.gov/ as of Sept 2024.

This data release contains the U.S. salient statistics and world production data extracted from the TIN data sheet of the USGS Mineral Commodity Summaries 2023.

This feature layer includes all data available at the block level - no adoption data is available at this level.-------The Connecticut Broadband Availability and Adoption Maps were created to help citizens and policymakers understand the strengths and weaknesses of broadband infrastructure in the state. Data is aggregated to the block, tract, and town (county subdivision) levels and includes counts of locations classified as unserved, underserved, and served as well as whether they meet the state goal of 1000Mbps/100Mbps. This application splits its visualizations into block, tract, and town layers for both unserved locations and progress to the state goal.

This map uses OPM collected availability and adoption data.

As of 2023, OPM collected availability data was submitted by internet service providers pursuant to PA 21-159 and processed by the GIS Office in the Office of Policy and Management, cleaned, and matched to the CostQuest location fabric.

Metadata:

All feature layers, maps, and datasets including OPM's internal broadband availability data follows the same basic schema with additional fields added in some case for convenience.

Fields named no service, unserved, underserved, served, and GigC are counts of locations where a particular level of broadband service is provided, No service locations are those where there is no reported service at all. Unserved locations are locations where there is a provider offering wireline service, but not at or above 25 Mbps download and 3 Mbps upload. Underserved locations are locations where at least one provider offers wireline service of 25 Mbps download and 3 Mbps upload, but there is no provider offering wireline service of 100 Mbps download and 20 Mbps upload. Served locations are locations where there is wireline service of at least 100 Mbps download and 20 Mbps upload. GigC denotes the count of locations that have service at 1000 Mbps download and 100 Mbps upload. Accordingly, total locations is equal to the sum of no service, unserved, underserved, served, and "GigC" locations. Availability also includes fields for average download and upload speeds. These are calculated at the relevant level of census geography based on the maximum for all locations.

The final field included in all availability data is the provider list.

OPM collected adoption data:

OPM collected adoption data uses many of the same naming conventions as the availability data, but there are some notable differences.

Fields named unserved_Sub, underserved_Sub, served_Sub, and GigC _Sub are counts of subscriptions where a particular level of broadband service is currently subscribed to, Unserved subscriptions are subscriptions that do not meet the standard of 25 Mbps download and 3 Mbps upload. Underserved subscriptions are subscriptions with speeds of 25 Mbps download and 3 Mbps upload, but not meeting 100 Mbps download and 20 Mbps upload. Served subscriptions are subscriptions where speeds are between 100 Mbps download and 20 Mbps upload and 1000 Mbps download and 100 Mbps upload. GigC denotes the count of locations that have a subscription at 1000 Mbps download and 100 Mbps upload or higher. For subscription data these locations are NOT included in the "served" field as this does not directly apply to FCC use of the terms.

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Notice: this is the latest Heat Island Anomalies image service.This layer contains the relative degrees Fahrenheit difference between any given pixel and the mean heat value for the city in which it is located, for every city in the contiguous United States, Alaska, Hawaii, and Puerto Rico. This 30-meter raster was derived from Landsat 8 imagery band 10 (ground-level thermal sensor) from the summer of 2023.To explore previous versions of the data, visit the links below:Full Range Heat Anomalies - USA 2022Full Range Heat Anomalies - USA 2021Full Range Heat Anomalies - USA 2020Federal statistics over a 30-year period show extreme heat is the leading cause of weather-related deaths in the United States. Extreme heat exacerbated by urban heat islands can lead to increased respiratory difficulties, heat exhaustion, and heat stroke. These heat impacts significantly affect the most vulnerable—children, the elderly, and those with preexisting conditions.The purpose of this layer is to show where certain areas of cities are hotter or cooler than the average temperature for that same city as a whole. This dataset represents a snapshot in time. It will be updated yearly, but is static between updates. It does not take into account changes in heat during a single day, for example, from building shadows moving. The thermal readings detected by the Landsat 8 sensor are surface-level, whether that surface is the ground or the top of a building. Although there is strong correlation between surface temperature and air temperature, they are not the same. We believe that this is useful at the national level, and for cities that don’t have the ability to conduct their own hyper local temperature survey. Where local data is available, it may be more accurate than this dataset. Dataset SummaryThis dataset was developed using proprietary Python code developed at The Trust for Public Land, running on the Descartes Labs platform through the Descartes Labs API for Python. The Descartes Labs platform allows for extremely fast retrieval and processing of imagery, which makes it possible to produce heat island data for all cities in the United States in a relatively short amount of time.In order to click on the image service and see the raw pixel values in a map viewer, you must be signed in to ArcGIS Online, then Enable Pop-Ups and Configure Pop-Ups.Using the Urban Heat Island (UHI) Image ServicesThe data is made available as an image service. There is a processing template applied that supplies the yellow-to-red or blue-to-red color ramp, but once this processing template is removed (you can do this in ArcGIS Pro or ArcGIS Desktop, or in QGIS), the actual data values come through the service and can be used directly in a geoprocessing tool (for example, to extract an area of interest). Following are instructions for doing this in Pro.In ArcGIS Pro, in a Map view, in the Catalog window, click on Portal. In the Portal window, click on the far-right icon representing Living Atlas. Search on the acronyms “tpl” and “uhi”. The results returned will be the UHI image services. Right click on a result and select “Add to current map” from the context menu. When the image service is added to the map, right-click on it in the map view, and select Properties. In the Properties window, select Processing Templates. On the drop-down menu at the top of the window, the default Processing Template is either a yellow-to-red ramp or a blue-to-red ramp. Click the drop-down, and select “None”, then “OK”. Now you will have the actual pixel values displayed in the map, and available to any geoprocessing tool that takes a raster as input. Below is a screenshot of ArcGIS Pro with a UHI image service loaded, color ramp removed, and symbology changed back to a yellow-to-red ramp (a classified renderer can also be used): A typical operation at this point is to clip out your area of interest. To do this, add your polygon shapefile or feature class to the map view, and use the Clip Raster tool to export your area of interest as a geoTIFF raster (file extension ".tif"). In the environments tab for the Clip Raster tool, click the dropdown for "Extent" and select "Same as Layer:", and select the name of your polygon. If you then need to convert the output raster to a polygon shapefile or feature class, run the Raster to Polygon tool, and select "Value" as the field.Other Sources of Heat Island InformationPlease see these websites for valuable information on heat islands and to learn about exciting new heat island research being led by scientists across the country:EPA’s Heat Island Resource CenterDr. Ladd Keith, University of ArizonaDr. Ben McMahan, University of Arizona Dr. Jeremy Hoffman, Science Museum of Virginia Dr. Hunter Jones, NOAA Daphne Lundi, Senior Policy Advisor, NYC Mayor's Office of Recovery and ResiliencyDisclaimer/FeedbackWith nearly 14,000 cities represented, checking each city's heat island raster for quality assurance would be prohibitively time-consuming, so The Trust for Public Land checked a statistically significant sample size for data quality. The sample passed all quality checks, with about 98.5% of the output cities error-free, but there could be instances where the user finds errors in the data. These errors will most likely take the form of a line of discontinuity where there is no city boundary; this type of error is caused by large temperature differences in two adjacent Landsat scenes, so the discontinuity occurs along scene boundaries (see figure below). The Trust for Public Land would appreciate feedback on these errors so that version 2 of the national UHI dataset can be improved. Contact Dale.Watt@tpl.org with feedback.

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As of 2023, 41 percent of healthcare leaders surveyed reported planning to provide intensive or critical care supported virtually in the next three years. Around 60 percent of healthcare leaders surveyed said they currently provide diagnostic imaging or screening centers.

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