Population, female (% of total population) in World was reported at 49.72 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Wetumpka. The dataset can be utilized to gain insights into gender-based income distribution within the Wetumpka population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Wetumpka, among individuals aged 15 years and older with income, there were 2,106 men and 2,787 women in the workforce. Among them, 1,141 men were engaged in full-time, year-round employment, while 1,356 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 29.71% fell within the income range of under $24,999, while 16.52% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 15.95% of men in full-time roles earned incomes exceeding $100,000, while 5.90% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Wetumpka median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Minooka. The dataset can be utilized to gain insights into gender-based income distribution within the Minooka population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Minooka, among individuals aged 15 years and older with income, there were 4,611 men and 3,853 women in the workforce. Among them, 2,972 men were engaged in full-time, year-round employment, while 2,085 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.52% fell within the income range of under $24,999, while 8.11% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 48.82% of men in full-time roles earned incomes exceeding $100,000, while 20.24% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Minooka median household income by race. You can refer the same here

Frequency counts of female and male participants within each age group.

We will train people at middle and high levels and provide gender ratio, including by age, total number, overall ratio, male/female count, and male/female ratio.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Shelby. The dataset can be utilized to gain insights into gender-based income distribution within the Shelby population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Shelby, among individuals aged 15 years and older with income, there were 6,927 men and 8,472 women in the workforce. Among them, 3,507 men were engaged in full-time, year-round employment, while 3,383 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.07% fell within the income range of under $24,999, while 14.01% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 19.48% of men in full-time roles earned incomes exceeding $100,000, while 8.10% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Shelby median household income by race. You can refer the same here

Photos were taken on Delhi streets to estimate the proportion of women on the streets of Delhi. See https://github.com/soodoku/women-count

Population, female in World was reported at 4048307044 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Pakistan PK: Population: Female data was reported at 95,816,602.000 Person in 2017. This records an increase from the previous number of 93,958,639.000 Person for 2016. Pakistan PK: Population: Female data is updated yearly, averaging 49,568,043.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 95,816,602.000 Person in 2017 and a record low of 20,852,045.000 Person in 1960. Pakistan PK: Population: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

Counts Of Men Women

## Overview

Counts Of Men Women is a dataset for object detection tasks - it contains Ihgf annotations for 340 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This statistic displays the number of women in employment European countries in 2015. Germany had the highest number of females in employment in Europe with **** million workers, this was followed by the United Kingdom and France.

Count of women who served, including casualty counts, sorted by the wartime period in which they served

Population, female (% of total population) in India was reported at 48.42 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Teen Birth Rate (births per 1,000 females ages 1519) is the number of births to teenagers between ages 15 and 19 per 1,000 females in this age group. Data reflect the mothers place of residence, rather than the place of the birth. SOURCES: * Birth Statistics: U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. * Population Statistics: U.S. Census Bureau.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within United States. The dataset can be utilized to gain insights into gender-based income distribution within the United States population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within United States, among individuals aged 15 years and older with income, there were 120.93 million men and 118.44 million women in the workforce. Among them, 67.70 million men were engaged in full-time, year-round employment, while 51.47 million women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.76% fell within the income range of under $24,999, while 11.43% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 27.43% of men in full-time roles earned incomes exceeding $100,000, while 17.09% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/united-states-income-distribution-by-gender-and-employment-type.jpeg" alt="United States gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 United States median household income by gender. You can refer the same here

Raw male and female fitness data for 223 hemiclonal genotypes sampled from the LHM laboratory adapted population. See Gilks et al (2017; https://f1000research.com/articles/5-2644/v3) for full details on how these lines were established. Assays were designed to measure total adult lifetime fitness for both males and females from each line, under conditions that match as close as possible those experienced by adults in the base population (Chippindale et al., 2001; Rice, 2005; Rice et al., 2006). Male fitness assay 5 hemiclonal males per line were combined in adult competition vials with 10 competitor bw- males and 15 virgin bw- females. After 2 days, each bw- female was isolated into individual oviposition test-tubes (containing the cornmeal-molasses-agar media but with no additional dried yeast) and left to oviposit for 18 hours. On Day 12, progeny were scored for eye-colour, in two observation rounds to allow ensure that as many eclosing offspring were included. Hemiclonal males were assigned paternity to progeny with wild-type red eyes (progeny of competitors are homozygous for the bw- allele and therefore have brown eyes), giving an average fitness score (number of offspring sired) for the 5 hemiclonal males that were assayed per line. This assay was independently replicated 5 times, representing data from a total of 25 hemiclonal males per line. Male fitness was calculated as the proportion of offspring sired per assayed male, which accounts for instances where less than 5 hemiclonal males were included (6 out of 1105 assays). Female fitness assays Assays of female fitness followed a similar protocol to the male assays, again to match as close as possible the timing and conditions experienced by individuals in the base population. In this case, 5 virgin hemiclonal females were combined in adult competition vials with 10 competitor bw- females and 15 bw- males for 2 days. After 2 days, the 5 hemiclonal females were isolated into individual test-tubes and left to oviposit for 18hrs. The tubes were immediately chilled (4°C) to halt embryo development and the number of eggs per female was counted to provide a measure of fecundity. Data was excluded for tubes in which the female was either dead or not present. Since unmated females are known to produce eggs at a low rate, we also excluded data from females where egg counts were 0 or 1 as these are likely to represent output from unmated females (see Supplementary figure 1). By averaging fecundity across all 5 females this provided an average female fitness score for that line. This assay was independently replicated 5 times, representing a total of 25 hemiclonal females per line. Dataset Column headings: Male sex - all male (value = 1) rep - replicate (values from 1 to 5) line - hemiclonal line (223 different lines, values from 1 to 230 with 7 lines missing) red_1 - number of wild-type red-eyed offspring in first round of counting red_2 - number of wild-type red-eyed offspring in second round of counting brown_1 - number of brown-eyed offspring in first round of counting brown_2 - number of brown-eyed offspring in second round of counting total_red - number of offspring counted with wild-type red eyes (genotype bw+/bw-) total_brown - number of offspring counted with brown eyes (genotype bw-/bw-) male_density - number of hemiclonal males per vial (value usually 5, but may be less due to missing males) note: NA - missing value Female sex - all female (value = 2) rep - replicate (values from 1 to 5) line - hemiclonal line (223 different lines, values from 1 to 230 with 7 lines missing) f1 - fecundity of female 1 f2 - fecundity of female 2 f3 - fecundity of female 3 f4 - fecundity of female 4 f5 - fecundity of female 5 note: NA - missing value References Chippindale, A.K., Gibson, J.R. & Rice, W.R. 2001. Negative genetic correlation for adult fitness between sexes reveals ontogenetic conflict in Drosophila. Proc. Natl. Acad. Sci. 98: 1671–1675. Gilks WP, Pennell TM, Flis I et al. Whole genome resequencing of a laboratory-adapted Drosophila melanogaster population sample [version 3; referees: 2 approved]. F1000Research 2016, 5:2644 (doi: 10.12688/f1000research.9912.3) Rice, W.R. 2005. Inter-locus antagonistic coevolution as an engine of speciation: Assessment with hemiclonal analysis. Proc. Natl. Acad. Sci. 102: 6527–6534. Rice, W.R., Stewart, A.D., Morrow, E.H., Linder, J.E., Orteiza, N. & Byrne, P.G. 2006. Assessing sexual conflict in the Drosophila melanogaster laboratory model system. Philos. Trans. R. Soc. B Biol. Sci. 361: 287–299.

Population, female (% of total population) in Pakistan was reported at 49.28 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Dominica Population: as % of Total: Female data was reported at 50.326 % in 2023. This records an increase from the previous number of 50.287 % for 2022. Dominica Population: as % of Total: Female data is updated yearly, averaging 50.293 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 53.063 % in 1960 and a record low of 49.497 % in 2011. Dominica Population: as % of Total: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominica – Table DM.World Bank.WDI: Population and Urbanization Statistics. Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2022 Revision.;Weighted average;

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Clark County. The dataset can be utilized to gain insights into gender-based income distribution within the Clark County population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Clark County, among individuals aged 15 years and older with income, there were 48,441 men and 50,199 women in the workforce. Among them, 23,916 men were engaged in full-time, year-round employment, while 17,702 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.23% fell within the income range of under $24,999, while 12.11% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 15.98% of men in full-time roles earned incomes exceeding $100,000, while 8.69% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Clark County median household income by race. You can refer the same here

Student data for the second semester of the 107th academic year