Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually hig ...

Link to the Open Data site for the United States Census Bureau.

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.

The report presents information on activity for all Programmes of Care gathered from HSC Trusts including comparisons over the past 5 years for the main activities. All information included in this report is collected by Community Information Branch via the annual and quarterly statistical returns from HSC Trusts in Northern Ireland. The title of this release is now known as Statistics on Community Care for Adults in Northern Ireland.

Source agency: Health, Social Service and Public Safety (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Community Stats

The Web Map Service for the consultation of statistical zonings allows you to visualise the elements of the statistical zonings within the entire municipal territory and to consult the information associated with the elements themselves.

On the Census Data Hub, CSO Census 2022 and 2016 datasets have been combined with Tailte Éireann official boundary data. Almost 800 variables across 15 themes can be retrieved to make powerful visualisations for both statistical and statutory boundaries. This guide will show you how to view, and quickly visualise data, based on a variable of your choice.Topics covered include: View Census countsSearching for data Viewing Census count data on a map Filtering by location Multiple filters

Mobile Views of AustinGO Site

The Ecommerce Website Platform market has emerged as a crucial component in the digital economy, catering to the needs of businesses seeking to establish an online presence. With the rapid growth of online shopping, these platforms provide comprehensive solutions for retailers, enabling them to create, manage, and s

About this dataset

Context

The dataset tabulates the population of Troy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Troy. The dataset can be utilized to understand the population distribution of Troy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Troy. 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 Troy.

Key observations

Largest age group (population): Male # 10-14 years (81) | Female # 10-14 years (110). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Troy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Troy is shown in the following column.
• Population (Female): The female population in the Troy 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 Troy 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 Troy Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of St. Paul by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for St. Paul. The dataset can be utilized to understand the population distribution of St. Paul by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in St. Paul. 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 St. Paul.

Key observations

Largest age group (population): Male # 55-59 years (25) | Female # 5-9 years (27). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 St. Paul population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the St. Paul is shown in the following column.
• Population (Female): The female population in the St. Paul 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 St. Paul 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 St. Paul Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 52.36% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Pike town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Pike town 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 Pike town Population by Gender. You can refer the same here

Statistics on Capital Markets Services Licence holders by Core Activity

About this dataset

Context

The dataset tabulates the population of Troy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Troy. The dataset can be utilized to understand the population distribution of Troy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Troy. 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 Troy.

Key observations

Largest age group (population): Male # 35-39 years (1,132) | Female # 35-39 years (1,257). 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.

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 Troy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Troy is shown in the following column.
• Population (Female): The female population in the Troy 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 Troy 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 Troy Population by Gender. You can refer the same here

In March 2024, Google.com was the leading website in Belgium. The search platform accounted for approximately 14.75 percent of desktop web traffic in Belgium, ahead of second-ranked YouTube.com with 9.47 percent.

United States Trade Balance: Serbia data was reported at -19.200 USD mn in Sep 2018. This records an increase from the previous number of -22.500 USD mn for Aug 2018. United States Trade Balance: Serbia data is updated monthly, averaging 0.600 USD mn from Jan 2003 (Median) to Sep 2018, with 189 observations. The data reached an all-time high of 27.900 USD mn in Mar 2004 and a record low of -74.000 USD mn in Nov 2013. United States Trade Balance: Serbia data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA010: Trade Statistics: Census Basis: By Country: Trade Balance.

Italy Vital Statistics: Net Migration: North West data was reported at 47,693.000 Person in 2017. This records an increase from the previous number of 36,245.000 Person for 2016. Italy Vital Statistics: Net Migration: North West data is updated yearly, averaging 117,177.000 Person from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 297,371.000 Person in 2013 and a record low of 21,654.000 Person in 2015. Italy Vital Statistics: Net Migration: North West data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G005: Vital Statistics: By Region and Sex: Annual.

National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. This will replace the Statistical Capacity Index (SCI) that the World Bank has regularly published since 2004.

The SPI focus on five key pillars of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. The SPI are composed of more than 50 indicators and contain data for 186 countries. This set of countries covers 99 percent of the world population. The data extend from 2016-2023, with some indicators going back to 2004.

For more information, consult the academic article published in the journal Scientific Data. https://www.nature.com/articles/s41597-023-01971-0.

As of January 2024, the preferred sportsbook among adults in the United States aged between ********* years old was bet365. Meanwhile, sports bettors aged over ** showed a tendency towards using the DraftKings app and website for sports betting.

United States US: People Using Basic Drinking Water Services: % of Population data was reported at 99.200 % in 2015. This records an increase from the previous number of 99.195 % for 2014. United States US: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.174 % from Dec 2005 (Median) to 2015, with 11 observations. The data reached an all-time high of 99.200 % in 2015 and a record low of 99.148 % in 2005. United States US: People Using Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;