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.

110 years of current demographic data provided by this collection

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (26) | Female # 40-44 years (16). 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 New Point population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Point is shown in the following column.
• Population (Female): The female population in the New Point 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 New Point 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 New Point Population by Gender. You can refer the same here

Monthly data on federally administered Supplemental Security Income payments.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (1,170) | Female # 65-69 years (1,478). 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 Salina town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Salina town is shown in the following column.
• Population (Female): The female population in the Salina town 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 Salina town 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 Salina town Population by Gender. You can refer the same here

This dataset collection comprises a set of data tables that are closely connected. These tables are sourced from the 'Tilastokeskus' (Statistics Finland) website based in Finland. All the data tables are structured in a manner that organizes related data in the form of rows and columns, making them easy to read and understand. The dataset is primarily focused on the service interface of the Statistics Finland, providing valuable insights into various statistical parameters. It's important to note that the dataset is updated periodically to reflect the most recent data available. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

United States Diffusion Index: sa: Mfg: 3 Months Span data was reported at 67.100 Unit in Oct 2018. This records an increase from the previous number of 63.200 Unit for Sep 2018. United States Diffusion Index: sa: Mfg: 3 Months Span data is updated monthly, averaging 49.000 Unit from Jan 1991 (Median) to Oct 2018, with 334 observations. The data reached an all-time high of 82.200 Unit in Nov 1997 and a record low of 2.600 Unit in Mar 2009. United States Diffusion Index: sa: Mfg: 3 Months Span data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G041: Current Employment Statistics Survey: Diffusion Index.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (60) | Female # 85+ years (64). 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 New London population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New London is shown in the following column.
• Population (Female): The female population in the New London 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 New London 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 New London Population by Gender. You can refer the same here

Financial overview and grant giving statistics of Health Information Management Association Of New York City Inc

This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard, which can be accessed via the link below. Data derived from SNOMED codes is used in some measures such as those for birthweight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. Since last month, this publication contains a new Clinical Quality Improvement Metric (CQIM) called CQIMReadmissions. This new metric reports the number of babies born in hospital then discharged home, who were then readmitted to hospital while still under 30 days old. This is supported by five new data quality metrics to ensure we only publish CQIMReadmissions figures where the underlying data is of sufficient completeness and quality. The new data quality metrics are CQIMDQ46 to CQIMDQ50. Further information about this new readmissions metric can found in this publication’s Data Quality Statement. This new data can be found in the Measures file available for download and in the CQIM and CQIM+ pages in the National Maternity Dashboard, and further information on the new metrics can be found in the accompanying Metadata file. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. This dashboard has been updated following the release of CNST Y6 criteria, and can be accessed via the link below. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains Bureau of Labor Statistics data. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts. Several data quality metrics, including the percent completeness in overall death reporting, percentage of deaths with cause of death pending further investigation, and the percentage of drug overdose deaths with specific drugs or drug classes reported are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts. Reporting of the specific drugs and drug classes involved in drug overdose deaths varies by jurisdiction, and comparisons of death rates involving specific drugs across selected jurisdictions should not be made. Provisional data presented will be updated on a monthly basis as additional records are received. For more information please visit: https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm

The monthly resident population statistics by gender and age for each township and city in Changhua County.

Introduction

Robotic Process Automation Statistics: RPA is a transformative technology that leverages robot software to automate rule-based tasks within digital systems. It operates by identifying repetitive tasks and developing software bots to execute them.

Seamlessly integrating these bots with existing software applications. RPA offers numerous benefits, including cost efficiency, accuracy, scalability, and enhanced productivity.

Its adoption is on the rise across industries, with the global RPA market poised for significant growth. This technology has the potential to revolutionize business operations.

By reducing costs, improving efficiency, and allowing human employees to focus on more strategic activities. Ultimately enhancing overall productivity and competitiveness.

To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.

United States WE: Age 25 & Over: Male: HS: Third Quartile data was reported at 1,234.000 USD in Mar 2020. This records a decrease from the previous number of 1,253.000 USD for Dec 2019. United States WE: Age 25 & Over: Male: HS: Third Quartile data is updated quarterly, averaging 1,003.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 1,253.000 USD in Dec 2019 and a record low of 793.000 USD in Mar 2000. United States WE: Age 25 & Over: Male: HS: Third Quartile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (221) | Female # 55-59 years (271). 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 New Freedom population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Freedom is shown in the following column.
• Population (Female): The female population in the New Freedom 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 New Freedom 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 New Freedom Population by Gender. You can refer the same here

United States WE: Age 25 & Over: Male: BH: Advanced Degree: Ninth Decile data was reported at 4,406.000 USD in Mar 2020. This records an increase from the previous number of 3,900.000 USD for Dec 2019. United States WE: Age 25 & Over: Male: BH: Advanced Degree: Ninth Decile data is updated quarterly, averaging 3,235.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 4,406.000 USD in Mar 2020 and a record low of 2,313.000 USD in Dec 2000. United States WE: Age 25 & Over: Male: BH: Advanced Degree: Ninth Decile data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.

Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Firm age and Employment size of firms.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months.Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level...Industry Coverage:.The data are shown at the 2-digit NAICS level...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSFAGEFSIZE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

United States WE: Full Time: PT: Female data was reported at 619.000 USD in Mar 2020. This records an increase from the previous number of 606.000 USD for Dec 2019. United States WE: Full Time: PT: Female data is updated quarterly, averaging 474.000 USD from Mar 2000 (Median) to Mar 2020, with 81 observations. The data reached an all-time high of 619.000 USD in Mar 2020 and a record low of 361.000 USD in Mar 2000. United States WE: Full Time: PT: Female data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Population Survey: Usual Weekly Earnings.