Comprehensive dataset of 1 Superfund sites in Mari El Republic, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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Research and development expenditure (% of GDP) in Czech Republic was reported at 1.9642 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - Research and development expenditure (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
Comprehensive dataset of 5 Website designers in Altai Republic, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Central African Republic: Research and development expenditure, percent of GDP: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for the Central African Republic from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .
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Dominican Republic: Research and development expenditure, percent of GDP: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for Dominican Republic from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Republic population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Republic. The dataset can be utilized to understand the population distribution of Republic by age. For example, using this dataset, we can identify the largest age group in Republic.
Key observations
The largest age group in Republic, OH was for the group of age 60 to 64 years years with a population of 53 (10.21%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Republic, OH was the 35 to 39 years years with a population of 4 (0.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Republic Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Republic by race. It includes the population of Republic across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Republic across relevant racial categories.
Key observations
The percent distribution of Republic population by race (across all racial categories recognized by the U.S. Census Bureau): 86.77% are white, 0.29% are Black or African American, 2.78% are American Indian and Alaska Native, 2.11% are Native Hawaiian and other Pacific Islander, 0.29% are some other race and 7.77% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Republic Population by Race & Ethnicity. You can refer the same here
Comprehensive dataset of 69 Website designers in Chuvashia Republic, Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
When asked about "Most common mobile data plans", * percent of Dominican respondents answer "*** GB". This online survey was conducted in 2022, among *** consumers.As an element of Statista Consumer Insights, our Consumer Insights Global survey offers you up-to-date market research data from over ** countries and territories worldwide.
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License information was derived automatically
Budget Expenditure: Chechen Republic: Year to Date: NE: Applicable Economic Research data was reported at 3,047,900.740 RUB in May 2022. This records an increase from the previous number of 1,503,113.920 RUB for Mar 2022. Budget Expenditure: Chechen Republic: Year to Date: NE: Applicable Economic Research data is updated monthly, averaging 2,549,511.410 RUB from Feb 2005 (Median) to May 2022, with 204 observations. The data reached an all-time high of 38,838,989.410 RUB in Dec 2013 and a record low of -2,730.000 RUB in Jan 2013. Budget Expenditure: Chechen Republic: Year to Date: NE: Applicable Economic Research data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD042: Regional Consolidated Budget: ytd: North Caucasian Federal District: Chechen Republic.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Czech Republic Electricity Consumption: Advertising and Market Research data was reported at 9,589.464 MWh in 2023. This records an increase from the previous number of 5,440.086 MWh for 2022. Czech Republic Electricity Consumption: Advertising and Market Research data is updated yearly, averaging 16,905.000 MWh from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 34,826.000 MWh in 2009 and a record low of 3,381.070 MWh in 2021. Czech Republic Electricity Consumption: Advertising and Market Research data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.RB005: Energy Consumption: Electricity: by Industry: Statistical Classification of Economic Activities Rev. 2.
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License information was derived automatically
Budget Expenditure: Republic of Chuvashia: Year to Date: NE: Applicable Economic Research data was reported at 0.000 RUB in Apr 2017. This stayed constant from the previous number of 0.000 RUB for Mar 2017. Budget Expenditure: Republic of Chuvashia: Year to Date: NE: Applicable Economic Research data is updated monthly, averaging 0.000 RUB from Jan 2005 (Median) to Apr 2017, with 148 observations. The data reached an all-time high of 17,536,810.000 RUB in Dec 2005 and a record low of -400.000 RUB in Mar 2008. Budget Expenditure: Republic of Chuvashia: Year to Date: NE: Applicable Economic Research data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD048: Regional Consolidated Budget: ytd: Volga Region Federal District: Republic of Chuvashia.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Czech Republic - Service producer prices: Advertising and market research was 130.60 points in March of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Czech Republic - Service producer prices: Advertising and market research - last updated from the EUROSTAT on July of 2025. Historically, Czech Republic - Service producer prices: Advertising and market research reached a record high of 148.50 points in December of 2024 and a record low of 62.60 points in March of 2005.
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License information was derived automatically
Budget Expenditure: Republic of Buryatia: Year to Date: NE: Applicable Economic Research data was reported at 1,778,081.000 RUB in Dec 2021. This stayed constant from the previous number of 1,778,081.000 RUB for Nov 2021. Budget Expenditure: Republic of Buryatia: Year to Date: NE: Applicable Economic Research data is updated monthly, averaging 0.000 RUB from Jan 2005 (Median) to Dec 2021, with 152 observations. The data reached an all-time high of 37,299,000.000 RUB in Dec 2006 and a record low of -163.560 RUB in Mar 2008. Budget Expenditure: Republic of Buryatia: Year to Date: NE: Applicable Economic Research data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD074: Regional Consolidated Budget: ytd: Far East Federal District: Republic of Buryatia.
With 3.0 Million Businesses in Czech Republic , Techsalerator has access to the highest B2B count of Data/Business data in the country. .
Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...
Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.
Techsalerator covers all regions, cities and provinces in the country. A few examples :
Regions :
Karlovy Vary Region, Liberec Region, Moravian- Silesian Region, The Pardubice Region, The Ústí Region, Vysočina Region, Zlín Region, South Bohemian Region, Hradec Králové Region, The Olomouc Region, The Pilsen Region, Central Bohemia Region and Southern Moravia Region.
Cities: Prague, Czech Republic Brno, Czech Republic Ostrava, Czech Republic Plzen, Czech Republic Olomouc, Czech Republic Liberec, Czech Republic Ceske Budejovice, Czech Republic Hradec Kralove, Czech Republic Usti, Czech Republic Pardubice, Czech Republic Havirov, Czech Republic Zlin, Czech Republic Kladno, Czech Republic Most, Czech Republic Karvina, Czech Republic Frydek-mistek, Czech Republic Opava, Czech Republic Karlovy Vary, Czech Republic Decin, Czech Republic Chomutov, Czech Republic Teplice, Czech Republic Jihlava, Czech Republic Prerov, Czech Republic Prostejov, Czech Republic Jablonec, Czech Republic Jablonec nad Nisou, Czech Republic Mlada Boleslav, Czech Republic Ceska Lipa, Czech Republic Trinec, Czech Republic Trebic, Czech Republic Tabor, Czech Republic Pribram, Czech Republic Znojmo, Czech Republic Orlova, Czech Republic Cheb, Czech Republic
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Since 1994, IUCN Red List assessments apply globally acknowledged standards to assess species distribution, abundance and trends. The extinction risk of a species has a major impact on conservation science and international funding mechanisms. Great ape species are listed as Endangered or Critically Endangered. Their populations are often assessed using their unique habit of constructing sleeping platforms, called nests. As nests rather than apes are counted, it is necessary to know the time it takes for nests to disappear to convert nest counts into ape numbers. However, nest decomposition is highly variable across sites and time and the factors involved are poorly understood. Here, we used 1,511 bonobo (Pan paniscus) nests and 15 years of climatic data (2003–2018) from the research site LuiKotale, Democratic Republic of the Congo, to investigate the effects of climate change and behavioural factors on nest decay time, using a Bayesian gamma survival model. We also tested the logistic regression method, a recommended time-efficient option for estimating nest decay time. Our climatic data showed a decreasing trend in precipitation across the 15 years of study. We found bonobo nests to have longer decay times in recent years. While the number of storms was the main factor driving nest decay time, nest construction type and tree species used were also important. We also found evidence for bonobo nesting behaviour being adapted to climatic conditions, namely strengthening the nest structure in response to unpredictable, harsh precipitation. By highlighting methodological caveats, we show that logistic regression is effective in estimating nest decay time under certain conditions. Our study reveals the impact of climate change on nest decay time in a tropical remote area. Failure to account for these changes would invalidate biomonitoring estimates of global significance, and subsequently jeopardize the conservation of great apes in the wild.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Republic population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Republic. The dataset can be utilized to understand the population distribution of Republic by age. For example, using this dataset, we can identify the largest age group in Republic.
Key observations
The largest age group in Republic, MO was for the group of age Under 5 years years with a population of 2,080 (10.81%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Republic, MO was the 85 years and over years with a population of 288 (1.50%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Republic Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Budget Expenditure: Republic of Udmurtia: Year to Date: NE: Applicable Economic Research data was reported at 0.000 RUB in Apr 2017. This stayed constant from the previous number of 0.000 RUB for Mar 2017. Budget Expenditure: Republic of Udmurtia: Year to Date: NE: Applicable Economic Research data is updated monthly, averaging 0.000 RUB from Jan 2005 (Median) to Apr 2017, with 148 observations. The data reached an all-time high of 103,480.900 RUB in Aug 2008 and a record low of 0.000 RUB in Apr 2017. Budget Expenditure: Republic of Udmurtia: Year to Date: NE: Applicable Economic Research data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FD047: Regional Consolidated Budget: ytd: Volga Region Federal District: Republic of Udmurtia.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Republic by race. It includes the population of Republic across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Republic across relevant racial categories.
Key observations
The percent distribution of Republic population by race (across all racial categories recognized by the U.S. Census Bureau): 95.18% are white and 4.82% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Republic Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Republic by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Republic across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 55.32% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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
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.
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/.
This dataset is a part of the main dataset for Republic Population by Race & Ethnicity. You can refer the same here
Comprehensive dataset of 1 Superfund sites in Mari El Republic, Russia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.