About this dataset

Context

The dataset tabulates the Russia town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Russia town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Russia town was 2,268, a 0.40% increase year-by-year from 2022. Previously, in 2022, Russia town population was 2,259, a decline of 0.40% compared to a population of 2,268 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Russia town decreased by 219. In this period, the peak population was 2,603 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Russia town is shown in this column.
• Year on Year Change: This column displays the change in Russia town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Russia town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Russia town 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 Russia town. The dataset can be utilized to understand the population distribution of Russia town by age. For example, using this dataset, we can identify the largest age group in Russia town.

Key observations

The largest age group in Russia, New York was for the group of age 65 to 69 years years with a population of 238 (9.45%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Russia, New York was the 85 years and over years with a population of 15 (0.60%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Russia town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Russia town 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 Russia town Population by Age. You can refer the same here

Imports from Russia in the United States increased to 287.88 USD Million in February from 243.95 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports from Russia.

Exports to Russia in the United States increased to 35.95 USD Million in February from 29.98 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports to Russia.

U.S. pedon data on the CAPS Version 1.0 CD-ROM, June 1998, are a sample of the pedon data contained on a CD-ROM produced by the National Soil Survey Center - Soil Survey Laboratory(NSSC-SSL). The data include recent pedons from analyses for soil characterization and research within the National Cooperative Soil Survey. Less-than-complete characterization data are available for many pedons because only selected measurements were planned or because the planned measurements are not yet complete. This database is dynamic-- data for additional pedons are added as they are sampled and analyzed, other information is updated as pedons are classified, suspect measurements are rerun and replaced, and errors are found and corrected. The data on the NSSC-SSL CD-ROM represent a 'snapshot' of the database. The database includes pedons that represent the central concept of a soil series, pedons that represent the central concept of a map unit but not of a series, and pedons sampled to bracket a range of properties within a series or landscape. Thus, attribute data for some data elements may be incomplete or missing for certain portions of the United States. In instances where data are unavailable, a mask should be used to exclude the area from the analysis. For research purposes, all data are retained in the database. Users unfamiliar with a given soil or set of data may want to consult with a research soil scientist at the National Soil Survey Center. A research soil scientist can be reached by telephone at (402) 437-5006, or by writing the Soil Survey Laboratory Head, National Soil Survey Center, Natural Resources Conservation Service, Federal Building, Room 152, 100 Centennial Mall North, Lincoln, NE 68508-3866 USA. Pedons on the CAPS Version 1.0 CD-ROM cover areas in Russia (60 deg 37 min N to 69 deg 27 min N; 159 deg 07 min E to 161 deg 33 minE) and in Alaska (62 deg to 68 deg N; 135 deg to 149 deg W).

The map consists of ESRI Shapefiles of the Usa River basin, Russia, including Lek-Vorkuta and Bolshaya Rogovaya. There are four data layers in the data set: a base map layer, a permafrost layer, and two key (permafrost) areas. Each data layer comprises several sub-layers. The map is based on a UTM 41 projection with the WGS 1984 spheroid. Parameters include permafrost temperature and degree of continuity; permafrost temperature classes, lithology, and stratigraphy; thermokarst, pingos, mass ground ice, and topography, lakes, large rivers (in streams), rivers, and watershed boundary. Data are available via ftp.

United States Imports from Russia was US$3.27 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Russia - data, historical chart and statistics - was last updated on December of 2025.

Dataset Card: deepseek_geopolitical_bias_dataset

  Dataset Summary

The deepseek_geopolitical_bias_dataset is a collection of geopolitical questions and model responses. It focuses on historical incidents spanning multiple regions (e.g., China, India, Pakistan, Russia, Taiwan, and the USA) and provides an in-depth look at how different Large Language Models (LLMs), including DeepSeek, respond to these sensitive topics. The dataset aims to support research in bias detection… See the full description on the dataset page: https://huggingface.co/datasets/enkryptai/deepseek-geopolitical-bias-dataset.

The Gross Domestic Product (GDP) in Russia was worth 2173.84 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Russia represents 2.05 percent of the world economy. This dataset provides the latest reported value for - Russia GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset tabulates the data for the Russia, New York population pyramid, which represents the Russia town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Russia, New York, is 25.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Russia, New York, is 29.6.
• Total dependency ratio for Russia, New York is 54.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Russia, New York is 3.4.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Russia town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Russia town for the selected age group is shown in the following column.
• Population (Female): The female population in the Russia town for the selected age group is shown in the following column.
• Total Population: The total population of the Russia town for the selected age group is shown in the following column.

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 Russia town Population by Age. You can refer the same here

This dataset is about book subjects. It has 6 rows and is filtered where the books is Failed crusade : America and the tragedy of post-Communist Russia. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Comprehensive demographic dataset for New Russia, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Synthetic Government Correspondence Dataset

This dataset contains 60 synthetic documents in Russian simulating official incoming letters and corresponding resolutions from a fictional Ministry of Tourism of Primorsky Region, Russia. The dataset is designed for research and evaluation of large language models (LLMs) in the task of document understanding, semantic information extraction, and resolution generation in public administration workflows.

  Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/F1lentis/docs_and_resolutions_ministry_of_tourism_Primorsky.

In 2021, Nestlé was the largest non-Russia advertiser in Russia, with an ad spending of 6.12 billion Russian rubles or roughly 81.5 million U.S. dollars at December 31, 2021, exchange rates. The top international advertisers presented in the data set invested approximately 812 million U.S. dollars in advertising in Russia that year. The Russian ad market was valued at 7.22 billion U.S. dollars, which gives the top non-Russian advertisers a market share of 11 percent. Exodus of international advertisers from Russia Among the brands that left the Russian advertising market in response to the invasion of Ukraine were Nestlé and Reckitt Benckiser, two foreign companies that spent the most on ads in the country in 2021. Other notable market players that stopped advertising in Russia were PepsiCo, Procter & Gamble, Mars Russia, and McDonald's. Most companies suspending marketing activities operated in the fast-moving consumer goods (FMCG) sector, at 57 percent as of March 2022. Furthermore, 12 percent represented the public catering category. In the TV advertising segment, the number of advertisers dropped by over 30 percent in June 2022 compared to the corresponding period of the previous year.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Russia recorded a trade surplus of 13600 USD Million in September of 2025. This dataset provides - Russia Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The stereotype content model (SCM), originating in the United States and generalized across nearly 50 countries, has yet to address ethnic relations in one of the world’s most influential nations. Russia and the United States are somewhat alike (large, powerful, immigrant-receiving), but differ in other ways relevant to intergroup images (culture, religions, ideology, and history). Russian ethnic stereotypes are understudied, but significant for theoretical breadth and practical politics. This research tested the SCM on ethnic stereotypes in a Russian sample (N = 1115). Study 1 (N = 438) produced an SCM map of the sixty most numerous domestic ethnic groups (both ethnic minorities and immigrants). Four clusters occupied the SCM warmth-by-competence space. Study 2 (N = 677) compared approaches to ethnic stereotypes in terms of status and competition, cultural distance, perceived region, and four intergroup threats. Using the same Study 1 groups, the Russian SCM map showed correlated warmth and competence, with few ambivalent stereotypes. As the SCM predicts, status predicted competence, and competition negatively predicted warmth. Beyond the SCM, status and property threat both were robust antecedents for both competence and warmth for all groups. Besides competition, cultural distance also negatively predicted warmth for all groups. The role of the other antecedents, as expected, varied from group to group. To examine relative impact, a network analysis demonstrated that status, competition, and property threat centrally influence many other variables in the networks. The SCM, along with antecedents from other models, describes Russian ethnic-group images. This research contributes: (1) a comparison of established approaches to ethnic stereotypes (from acculturation and intergroup relations) showing the stability of the main SCM predictions; (2) network structures of the multivariate dependencies of the considered variables; (3) systematically cataloged images of ethnic groups in Russia for further comparisons, illuminating the Russian historical, societal, and interethnic context.

Context The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion in 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

The following 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growing more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

Content In this Dataset, we have Historical Population data for every Country/Territory in the world by different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc.

The 1988 Spitak Earthquake database is an extensive collection of geophysical and geological data, maps, charts, images and descriptive text pertaining to the catastrophic earthquake in Armenia. This earthquake was unique both in catastrophic effects and in study coverage. Research groups from the former U.S.S.R., U.S.A., France, and Japan studied the earthquake area. The database was developed as a cooperative effort between centers in Russia and the United States. The goal was to provide seismologists around the world with a complete set of data for the devastating earthquake. The database contains practically all material relevant to the 1988 Spitak earthquake and its aftereffects. It also includes the geological and geophysical information collected during the years prior to the event, important for understanding the event. Almost 2,000 files and 170 megabytes of data are contained in the collection. The database is static and is no longer being updated.

ST8/SCCmecIV community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has been a common threat, with large USA300 epidemics in the United States. The global geographical structure of ST8/SCCmecIV has not yet been fully elucidated. We herein determined the complete circular genome sequence of ST8/SCCmecIVc strain OC8 from Siberian Russia. We found that 36.0% of the genome was inverted relative to USA300. Two IS256, oppositely oriented, at IS256-enriched hot spots were implicated with the one-megabase genomic inversion (MbIN) and vSaβ split. The behavior of IS256 was flexible: its insertion site (att) sequences on the genome and junction sequences of extrachromosomal circular DNA were all divergent, albeit with fixed sizes. A similar multi-IS256 system was detected, even in prevalent ST239 healthcare-associated MRSA in Russia, suggesting IS256’s strong transmission potential and advantage in evolution. Regarding epidemiology, all ST8/SCCmecIVc strains from European, Siberian, and Far Eastern Russia, examined had MbIN, and geographical expansion accompanied divergent spa types and resistance to fluoroquinolones, chloramphenicol, and often rifampicin. Russia ST8/SCCmecIVc has been associated with life-threatening infections such as pneumonia and sepsis in both community and hospital settings. Regarding virulence, the OC8 genome carried a series of toxin and immune evasion genes, a truncated giant surface protein gene, and IS256 insertion adjacent to a pan-regulatory gene. These results suggest that unique single ST8/spa1(t008)/SCCmecIVc CA-MRSA (clade, Russia ST8-IVc) emerged in Russia, and this was followed by large geographical expansion, with MbIN as an epidemiological marker, and fluoroquinolone resistance, multiple virulence factors, and possibly a multi-IS256 system as selective advantages.