Exports in Russia increased to 34559 USD Million in March from 31216 USD Million in February of 2025. This dataset provides - Russia Exports - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Imports from Russia in India increased to 475.55 INR Billion in January from 407.51 INR Billion in December of 2023. This dataset includes a chart with historical data for India Imports from Russia.

This dataset is about countries per year in Russia. It has 64 rows. It features 5 columns: alternative and nuclear energy, net energy imports, armed forces personnel, and birth rate.

Imports: EU 27E: Russia: Manufactured Gds data was reported at 0.396 EUR bn in Feb 2025. This records a decrease from the previous number of 0.513 EUR bn for Jan 2025. Imports: EU 27E: Russia: Manufactured Gds data is updated monthly, averaging 1.022 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 2.745 EUR bn in Mar 2022 and a record low of 0.272 EUR bn in Dec 2024. Imports: EU 27E: Russia: Manufactured Gds data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA040: Eurostat: Trade Statistics: By SITC: European Union: Russia.

Trade Balance: EU 27E: Russia: Mineral Fuels, Lubricants data was reported at -1.993 EUR bn in Feb 2025. This records an increase from the previous number of -2.419 EUR bn for Jan 2025. Trade Balance: EU 27E: Russia: Mineral Fuels, Lubricants data is updated monthly, averaging -7.574 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of -1.416 EUR bn in Apr 2024 and a record low of -15.698 EUR bn in Mar 2022. Trade Balance: EU 27E: Russia: Mineral Fuels, Lubricants data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA040: Eurostat: Trade Statistics: By SITC: European Union: Russia.

This is a compilative dataset based upon digitisation and databasing of multiple references. The mission of this resource is to enable direct access to a large array of floristic data published in 1975-2021 in hardly available journals, serials, monographs, dissertations and technical reports written in Russian.

Submit a new reference | Отправить новый источник: https://docs.google.com/forms/d/e/1FAIpQLSeZt1z6e4lbn7mr7NECkRYcRfO8n9KlCSnc-XmtuCkIcz7taQ/viewform?usp=sf_link

All records within one local flora have the same centroid coordinates and coordinate uncertainty in metres. As of April 20, 2022, the dataset includes full checklists for 1,573 localities (100+ records), partial checklists for 1,073 localities (10 to 99 records) and casual records from 371 localities (1 to 9 records). We mobilised data from 604 published sources with mean georeference accuracy 21,965 m.

We are adding constantly new references. Data cleaning (orthography of original names, typos, OCR mistakes) is in progress.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Russia: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 33(10.93%) households where the householder is under 25 years old, 117(38.74%) households with a householder aged between 25 and 44 years, 47(15.56%) households with a householder aged between 45 and 64 years, and 105(34.77%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the village of Russia, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

Russia Imports: Belarus: Annual: Volume: Glazed Ceramic Tiles data was reported at 10,302.000 sq m th in 2015. This records a decrease from the previous number of 12,031.000 sq m th for 2014. Russia Imports: Belarus: Annual: Volume: Glazed Ceramic Tiles data is updated yearly, averaging 8,253.000 sq m th from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 12,031.000 sq m th in 2014 and a record low of 4,785.000 sq m th in 1998. Russia Imports: Belarus: Annual: Volume: Glazed Ceramic Tiles data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Foreign Trade – Table RU.JAB019: Trade by Product: Belarus.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Russia, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 15,952, while the mean income for the highest quintile (20% of households with the highest income) is 237,757. This indicates that the top earners earn 15 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 393,864, which is 165.66% higher compared to the highest quintile, and 2469.06% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 median household income. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Russia: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 14(4.68%) households where the householder is under 25 years old, 109(36.45%) households with a householder aged between 25 and 44 years, 97(32.44%) households with a householder aged between 45 and 64 years, and 79(26.42%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the village of Russia, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

Brasil X Russia

## Overview

Brasil X Russia is a dataset for object detection tasks - it contains Volleyball annotations for 489 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

This dataset is about book series. It has 1 row and is filtered where the books is A taste of Russia. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

🇷🇺 Russian Public Domain 🇷🇺

Russian-Public Domain or Russian-PD is a large collection aiming to aggregate all Russian monographies and periodicals in the public domain.

  Dataset summary

The collection contains 8525 titles making up 995,163,165 words recovered from the Internet Archive. Each parquet file has the full text of 2,000 books selected at random.

  Curation method

The composition of the dataset adheres to the criteria for public domain… See the full description on the dataset page: https://huggingface.co/datasets/PleIAs/Russian-PD.

Russia Primary Crude Oil Refining: Aphipsky Refinery data was reported at 415.700 Ton th in Jan 2019. This records an increase from the previous number of 289.000 Ton th for Dec 2018. Russia Primary Crude Oil Refining: Aphipsky Refinery data is updated monthly, averaging 343.300 Ton th from Dec 2004 (Median) to Jan 2019, with 170 observations. The data reached an all-time high of 542.600 Ton th in Oct 2015 and a record low of 23.300 Ton th in Feb 2005. Russia Primary Crude Oil Refining: Aphipsky Refinery data remains active status in CEIC and is reported by Central Dispatching Department of Fuel and Energy Complex. The data is categorized under Russia Premium Database’s Energy Sector – Table RU.RBG002: CDU TEK: Crude Oil Refining: by Refineries.

Quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2020. Two product versions: one features all MODIS pixels within 2km radius around a given site, and a second version consists of an average time series that represents the area within 1km2 around a site. All data layers have a complementary layer with gap-fill information. MODIS data comprise all sites in the Fluxnet La Thuile, Berkeley and ICOS Drought 2018 data releases. FluxnetEO MODIS reflectance products: enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), generalized NDVI (kNDVI), near infra-red reflectance of vegetation (NIRv), normalized difference water index (NDWI) with band 5, 6, or 7 as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in MODIS bands 1-7. Based on the NASA MCD43A4 and MCD43A2 collection 6 products with a pixel size of 500m. FluxnetEO MODIS land surface temperature: Terra and Aqua, day and night, at native viewing zenith angle as well as corrected to viewing zenith angles of 0 and 40degrees (Ermida et al., 2018, RSE). Based on NASA MOD11A1 and MYD11A1 collection 6 at a pixel size of 1km. Supplementary data to Walther, S., Besnard, S., Nelson, J.A., El-Madany, T. S., Migliavacca, M., Weber, U., Ermida, S. L., Brümmer, C., Schrader, F., Prokushkin, A., Panov, A., Jung, M. , 2021. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, in preparation for Biogeosciences Discussions. ZIP archive of netcdf files for the stations in Europe : RU-Che, RU-Cok, RU-Fy2, RU-Fyo, RU-Ha1, RU-Ha3, RU-Sam, RU-SkP, RU-Tks, RU-Vrk, RU-Zot Besnard, S., Nelson, J., Walther, S., Weber, U. (2021). The FluxnetEO dataset (MODIS) for European stations located in Russia, 2000-01-01–2020-12-30, Miscellaneous, https://hdl.handle.net/11676/qQPZJVTW33k0LB6qdIT33gIV

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (8) | Female # 50-54 years (6). 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 Russia township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Russia township is shown in the following column.
• Population (Female): The female population in the Russia township 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 Russia township 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 Russia township Population by Gender. You can refer the same here

About this dataset

Context

The dataset presents median household incomes for various household sizes in Russia, OH, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Russia. Across the different household sizes in Russia the mean income is $102,172, and the standard deviation is $42,542. The coefficient of variation (CV) is 41.64%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $34,229. It then further increased to $136,465 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/russia-oh-median-household-income-by-household-size.jpeg" alt="Russia, OH median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 median household income. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Russia town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Russia town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Russia town, the median household income stands at $117,375 for householders within the 45 to 64 years age group, followed by $100,403 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $53,347.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Russia town median household income by age. You can refer the same here

Louis Vuitton web scraped data

  About the website

The luxury fashion industry in the EMEA region, particularly in Russia, is characterized by a growing demand for high-end products from renowned brands. Louis Vuitton, a global leader in this industry, caters to this escalating demand through their extensive range of luxury clothing, accessories, and luggage. The brand has significantly increased its presence in Russia by leveraging the power of Ecommerce, effectively… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Louis.Vuitton.Product.prices.Russia.

About this dataset

Context

The dataset tabulates the Russia household income by gender. The dataset can be utilized to understand the gender-based income distribution of Russia 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).

• Russia, OH annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Russia, OH annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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 Russia income distribution by gender. You can refer the same here