Final 2025 Person_improvement

## Overview

Final 2025 Person_improvement is a dataset for object detection tasks - it contains Person Person DNE Left Right Objects annotations for 9,130 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).

Carc 2025

## Overview

Carc 2025 is a dataset for object detection tasks - it contains Objects annotations for 1,056 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 [MIT license](https://creativecommons.org/licenses/MIT).

This table shows forecast figures for the population of the Netherlands by gender and age on 1 January.

Data available from 2025 to 2070.

Status of figures: The figures in this table are calculated forecast figures.

Changes as of 17 December 2024: None, this is a new table in which the previous forecast has been adjusted on the basis of the observations that have become available. The forecast period now runs from 2025 to 2070.

When will there be new figures? The frequency of appearance of this table is one-off. In December 2025, a new table of population projections by gender and age will be published.

Update May 7th, 2025 - BSD_Tag is finalized, with definitions below.A “Red” tag indicates that the property has been assessed and deemed uninhabitable due to severe damage or safety hazards resulting from the wildfire. The red tagged properties shall not be entered or occupied.

Update April 28, 2025 - Added.a new field, TT_Eligible, which contains final eligibility status as determined by Tetratech, who performed a manual review of properties. The field has the following values:Eligible from DINS (n=11.806)Excluded by Tetratech (n=242) - generally individual condominiums in a large group where only a few condos were damaged or destroyedIncluded by Tetratech (n=79) - properties where the DINS data incorrectly identified parcels as undamaged or minor damage.Update April 25, 2025 - BSD_Tag field updated with changes and corrections from BSD.Update March 28th 2025 - Preliminary BSD tagging / ATC data added under BSD_Tag field. The source data comes from BSD and was joined to the Parcel DINS dataset. Possible ATC values are Yellow (Restricted Use) and Red (Unsafe). There were some Green (Inspected) records in the original data, however, those are incomplete since inspectors were focused on the more severe cases. Residential and commercial parcels with a DINS status of Destroyed (Damage > 50%) were also given a value of Red (Unsafe). In cases where there was more than one BSD record on a parcel, the more severe value was used. IMPORTANT: The ATC data is still being reviewed and refined. Therefore, the values in the BSD_Tag field are subject to change. Additionally, the ATC data is only available for the unincorporated areas.Process used to calculate BSD_Tag:For Eaton: Red-tagging information came from EPIC-LA extract. Red-tagging with a focus on pools occurred on 1/18-1/19/2025 so these records were excluded. An initial base of red-tagged properties was created with the Parcel DINS data using the following criteria UseType = Residential or Commercial, LegalCity = Unincorporated, and Damage category = Destroyed. The BSD_Tag was then overwritten with the red-tagging coming from the EPIC-LA dataset, joining by AIN.For Palisades: The process was simpler. The BSD_Tag data came directly from EPIC-LA/Calabasas Office survey and joined to the Parcel DINS dataset using the AIN. No additional querying or work was necessary.Dataset last updated on March 26th, 2025This dataset comes from two data sources:1. Los Angeles County Parcel Data. See this link for for information: https://data.lacounty.gov/documents/4d67b154ae614d219c58535659128e71/about2. Damage Inspection (DINS) Data from CalFire:Eaton: https://data.lacounty.gov/maps/6254ba9f9c4f4b0f886f24c902c8eda3Palisades: https://data.lacounty.gov/datasets/CALFIRE-Forestry::dins-2025-palisades-public-view/aboutProcess:The dataset includes all parcels within the Established Fire Perimeters from CalFIRE and all parcels that had DINS inspections for any and all structures (including miscellaneous structures which had been removed in earlier version). If more than one DINS inspection occurred on a parcel, the information from the most damaged building was attached to the parcel. Update March 19th 2025 - To support new reporting requirements, we changed the use description for Condominiums (4-digit Use Code ending in 'C' from Residential - Single to Residential - Condominium'Update March 19th 2025 - To support the complete removal of all debris, all properties that were identified as "Inaccessible" (28 total) were reviewed using post-fire aerial imagery and updated. 26 out of the 28 were undamaged, and 2 were identified as destroyed.Additionally, parcels where a Damage Inspection (DINS_Count) had not been done, but the Assessor had a unit count (Total_Units) greater than 0 were also manually inspected. This resulted in an additional 40 parcels identified as damaged (36 destroyed). Some of these parcels reflect a single building covering more than one property. Buildings that were under construction had their unit and square footage count set to zero. The DINS_Count for these properties was changed from

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.4% 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 Whitten is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Whitten 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 Whitten Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.83% 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 Ione is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Ione 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 Ione Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 50.28% of total population being male. 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 Ventura is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Ventura 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 Ventura Population by Race & Ethnicity. You can refer the same here

As of January 2025, around 13.7 percent of paid iOS apps admitted collecting data from users engaging with their mobile products. In comparison, approximately 53 percent of free-to-download iOS apps reported they collect private data from users worldwide, while approximately 86 percent of paid apps have not declared whether they collect users' privacy data.

In January 2025, around ***** percent of Germany had 5G coverage. Only *** percent was a so-called dead zone, which is an area where there is no 2G, 4G, or 5G. The number of 5G base stations had increased significantly in recent years.

For more information please visit the Public Safety Open Data page.Note: This data cannot be filtered by date range in the Open Data Portal. To filter by date range visit the Crime Mapper Application.Date/Time fields are string data types and will be viewed and downloaded in US/Pacific time.

Data Centric Security market will be growing at a CAGR of 30.22% during 2025 to 2033.

About this dataset

Context

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

Key observations

There is a majority of female population, with 62.31% 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 Harper is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Harper 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 Harper Population by Race & Ethnicity. You can refer the same here

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This dataset provides values for GOVERNMENT DEBT TO GDP.2018 reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (15) | Female # 10-14 years (20). 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 Mcclelland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mcclelland is shown in the following column.
• Population (Female): The female population in the Mcclelland 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 Mcclelland 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 Mcclelland Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 52.02% 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 Hawkeye is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Hawkeye 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 Hawkeye Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.36% 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 Woodway is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Woodway 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 Woodway Population by Race & Ethnicity. You can refer the same here

CPI Housing Utilities in Burkina Faso decreased to 101.40 points in May from 102.10 points in April of 2025. This dataset provides - Burkina Faso Cpi Housing Utilities- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Exports to Mexico in South Korea decreased to 1093170 USD Thousand in February from 1108892 USD Thousand in January of 2024. This dataset includes a chart with historical data for South Korea Exports to Mexico.

About this dataset

Context

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

Key observations

There is a majority of female population, with 55.21% 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 Lake Mary is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Lake Mary 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 Lake Mary Population by Race & Ethnicity. You can refer the same here