During the fourth quarter of 2023, Duolingo registered almost 42 million downloads worldwide. As of the last examined quarter, language-learning app Duolingo recorded approximately 11 million downloads in the North and Latin America region. Between the first quarter of 2017 and the end of 2022, North and Latin America have consistently registered the highest number of Duolingo app downloads. However, during the third quarter of 2023, mobile downloads of Duolingo reached over 21 million in the Asia-Pacific region.

Concerning the 21 selected segments, the segment Games has the largest number of downloads with 16.9 billion downloads. Contrastingly, Medical is ranked last, with 45.4 million downloads. Their difference, compared to Games, lies at 16.9 billion downloads. Find more statistics on other topics: a comparison of countries or regions regarding the revenue. The Statista Market Insights cover a broad range of additional markets.

The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.

Description of the INSPIRE Download Service (predefined Atom): The development plan “Extension of arable settlement II” of the municipality of Eppelborn shows the permissible use on the areas marked in the plan.

Detailed explanations by specialist staff can be requested from the responsible department of the municipality of Eppelborn. They also find out whether changes have been made to the plan documents in the meantime. — The link(s) for downloading the records is/are generated dynamically from a DataURL link of a WMS layer

Omi app's monthly downloads in Indonesia fluctuated over the observed period, peaking at around 1.5 million downloads in July 2024. The online dating app was downloaded about 1.17 million times in December 2024.

About this dataset

Context

The dataset tabulates the population of Wilmington by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Wilmington across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 53.63% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Wilmington is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Wilmington total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Wilmington Population by Race & Ethnicity. You can refer the same here

Combined Statistical Areas (CSAs) consist of two or more adjacent CBSAs that have substantial employment interchange. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of metropolitan and/or micropolitan statistical areas, they should not be ranked or compared with individual metropolitan and micropolitan statistical areas.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_nationgeo.gdb.zip Layer: Combined_Statistical_AreaMetadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_csa.shp.iso.xml

The National Household Travel Survey provides information to assist transportation planners and policy makers who need comprehensive data on travel and transportation patterns in the United States

Copied from https://twitter.com/Sci_Hub/status/996925449577037824 : «update to 2017 download stats: it turned out that all DOI starting from '10.1016/j' pattern were marked as erroneous and were filtered out by exporter script. that happened by mistake. here the all missed downloads»

In July 2024, the Indian subscription service Sony LIV Netflix was the leading video streaming app based on the number of downloads worldwide, with roughly 15.6 million downloads. Netflix followed, with 14 million downloads. Max ranked third, with around 12.4 million downloads during the examined month.

This is the landing page for Form 6180.71 US DOT Crossing Inventory data.

About this dataset

Context

The dataset tabulates the population of Hopkinsville by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Hopkinsville across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.8% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Hopkinsville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Hopkinsville total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Hopkinsville Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Missouri by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Missouri. The dataset can be utilized to understand the population distribution of Missouri by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Missouri. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Missouri.

Key observations

Largest age group (population): Male # 20-24 years (211,840) | Female # 60-64 years (212,998). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Missouri population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Missouri is shown in the following column.
• Population (Female): The female population in the Missouri is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Missouri for each age group.

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 Missouri Population by Gender. You can refer the same here

Statistics Canada's Health Profile features community-level data from a number of sources including Statistics Canada's health surveys, administrative data, and the census of population.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: November 2024 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: February 3, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2021 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

About this dataset

Context

The dataset tabulates the population of Milton by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Milton across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 56.39% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Milton is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Milton total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Milton Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Spokane Valley by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Spokane Valley across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.28% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Spokane Valley is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Spokane Valley total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Spokane Valley Population by Race & Ethnicity. You can refer the same here

United States Trained Teachers in Primary Education: Male: % of Male Teachers data was reported at 100.000 % in 2022. This stayed constant from the previous number of 100.000 % for 2021. United States Trained Teachers in Primary Education: Male: % of Male Teachers data is updated yearly, averaging 100.000 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 100.000 % in 2022 and a record low of 100.000 % in 2022. United States Trained Teachers in Primary Education: Male: % of Male Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Education Statistics. Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;