The total equity of Kehua Data Co., Ltd. with headquarters in China amounted to 4.51 billion yuan in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 1.03 billion yuan. The trend from 2020 to 2023 shows, furthermore, that this increase happened continuously.

Graph and download economic data for Infra-Annual Labor Statistics: Unemployment Rate Total: From 15 to 64 Years for Poland (LRUN64TTPLQ156N) from Q1 1999 to Q1 2025 about Poland, 15 to 64 years, unemployment, and rate.

About this dataset

Context

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

Key observations

There is a majority of male population, with 54.54% 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 Lawrenceville is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Lawrenceville 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 Lawrenceville Population by Race & Ethnicity. You can refer the same here

Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data was reported at 100.163 % in 2016. This records an increase from the previous number of 98.755 % for 2015. Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data is updated yearly, averaging 96.132 % from Dec 1971 (Median) to 2016, with 45 observations. The data reached an all-time high of 100.919 % in 1989 and a record low of 92.210 % in 1973. Poland PL: Primary Completion Rate: Total: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank: Education Statistics. Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Ghana GH: Overall Level of Statistical Capacity: Scale 0 - 100 data was reported at 68.889 NA in 2017. This stayed constant from the previous number of 68.889 NA for 2016. Ghana GH: Overall Level of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 60.556 NA from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 68.889 NA in 2017 and a record low of 51.111 NA in 2004. Ghana GH: Overall Level of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank: Policy and Institutions. The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100.; ; World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).; Unweighted average;

This statistic depicts the private label and branded cream cheese sales in the United States in 52 weeks ended in April 23, 2023. U.S. branded cream cheese sales grew by **** percent compare to the previous year.

Luxembourg LU: Cause of Death: by Injury: % of Total data was reported at 6.700 % in 2016. This records an increase from the previous number of 6.600 % for 2015. Luxembourg LU: Cause of Death: by Injury: % of Total data is updated yearly, averaging 6.600 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 6.700 % in 2016 and a record low of 6.600 % in 2015. Luxembourg LU: Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Luxembourg – Table LU.World Bank.WDI: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;

About this dataset

Context

The dataset tabulates the Dana household income by age. The dataset can be utilized to understand the age-based income distribution of Dana income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Dana, IN annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Dana, IN household incomes: Comparative analysis across 16 income brackets

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Dana income distribution by age. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of female population, with 56.12% 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 Stockdale is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Stockdale 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 Stockdale Population by Race & Ethnicity. You can refer the same here

CN: Total Operated Flight: Shanghai-Japan: Nagasaki data was reported at 6.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 6.000 Unit for 21 Apr 2025. CN: Total Operated Flight: Shanghai-Japan: Nagasaki data is updated weekly, averaging 6.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 132 observations. The data reached an all-time high of 7.000 Unit in 23 Sep 2019 and a record low of 2.000 Unit in 13 May 2024. CN: Total Operated Flight: Shanghai-Japan: Nagasaki data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Departure: Shanghai.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 51.82% 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 Rochester is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Rochester 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 Rochester Population by Race & Ethnicity. You can refer the same here

Honduras HN: Secondary Education: General Pupils: % Female data was reported at 52.836 % in 2016. This records a decrease from the previous number of 53.263 % for 2015. Honduras HN: Secondary Education: General Pupils: % Female data is updated yearly, averaging 50.654 % from Dec 1970 (Median) to 2016, with 15 observations. The data reached an all-time high of 54.622 % in 2013 and a record low of 43.546 % in 2000. Honduras HN: Secondary Education: General Pupils: % Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Honduras – Table HN.World Bank: Education Statistics. Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

About this dataset

Context

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

Key observations

There is a majority of female population, with 54.07% of total population being female. 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 Halls is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Halls 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 Halls Population by Gender. You can refer the same here

Laos LA: Domestic General Government Health Expenditure: % of GDP data was reported at 0.988 % in 2015. This records an increase from the previous number of 0.765 % for 2014. Laos LA: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 0.843 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.539 % in 2001 and a record low of 0.408 % in 2011. Laos LA: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

About this dataset

Context

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

Key observations

There is a majority of male population, with 53.07% 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 Point Arena is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Point Arena 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 Point Arena Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Total: From 25 to 54 Years for Russia (RUSLREM25TTSTM) from Aug 2009 to Dec 2021 about 25 to 54 years, Russia, labor force, and labor.

The total amount of investments in the Dominican Republic was forecast to continuously increase between 2023 and 2025 by three billion U.S. dollars (+12.34 percent). The total amount of investments is estimated to amount to 27.35 billion U.S. dollars in 2025.Data provided by Statista Market Insights are estimates. Find further statistics regarding total amount of investments in this context for countries like Ecuador, Costa Rica, and Nicaragua.

Graph and download economic data for All Employees: Total Nonfarm in Erie, PA (MSA) (ERIE542NA) from Jan 1990 to Jun 2025 about Erie, payrolls, PA, nonfarm, employment, and USA.

In 2023, the total population in the Arab World increased by **** million inhabitants (+**** percent) compared to 2022. Therefore, the total population in the Arab World reached a peak in 2023 with ****** million inhabitants. Notably, the total population continuously increased over the last years.The total population of a country refers to the de facto number of people residing in a country, regardless of citizenship or legal status.

Abstract

The GHS is an annual household survey which measures the living circumstances of South African households. The GHS collects data on education, health, and social development, housing, access to services and facilities, food security, and agriculture.

Geographic coverage

National coverage

Analysis unit

Households and individuals

Universe

The survey covers all de jure household members (usual residents) of households in the nine provinces of South Africa, and residents in workers' hostels. The survey does not cover collective living quarters such as student hostels, old age homes, hospitals, prisons, and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

From 2015 the General Household Survey (GHS) uses a Master Sample (MS) frame developed in 2013 as a general-purpose sampling frame to be used for all Stats SA household-based surveys. This MS has design requirements that are reasonably compatible with the GHS. The 2013 Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country, and had other information that is crucial for stratification and creation of PSUs. There are 3324 primary sampling units (PSUs) in the Master Sample, with an expected sample of approximately 33000 dwelling units (DUs). The number of PSUs in the current Master Sample (3324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the GHS estimates. The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

The sample for the GHS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. After allocating the sample to the provinces, the sample was further stratified by geography (primary stratification), and by population attributes using Census 2011 data (secondary stratification).

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

Data was collected with a household questionnaire and a questionnaire administered to a household member to elicit information on household members.

Data appraisal

Since 2019, the questionnaire for the GHS series changed and the variables were also renamed. For correspondence between old names (GHS pre-2019) and new name (GHS post-2019), see the document ghs-2019-variables-renamed.