CONTENT

The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

CONTEXT

• Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

• **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

• Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

Manufacturing Production in the United States increased 0.90 percent in August of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Manufacturing Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

GDP from Manufacturing in the United States increased to 2405 USD Billion in the second quarter of 2025 from 2337.70 USD Billion in the first quarter of 2025. This dataset provides - United States Gdp From Manufacturing- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Bahamas BS: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 27.774 % in 2022. This stayed constant from the previous number of 27.774 % for 2021. Bahamas BS: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 27.774 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 27.774 % in 2022 and a record low of 8.060 % in 1996. Bahamas BS: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing;United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database;;

GDP from Manufacturing in South Korea increased to 156182.50 KRW Billion in the second quarter of 2025 from 152300.90 KRW Billion in the first quarter of 2025. This dataset provides the latest reported value for - South Korea Gdp From Manufacturing - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

GDP from Manufacturing in Brazil increased to 30066.36 BRL Million in the second quarter of 2025 from 28401.72 BRL Million in the first quarter of 2025. This dataset provides the latest reported value for - Brazil Gdp From Manufacturing - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 11.601 % in 2016. This records a decrease from the previous number of 11.919 % for 2015. United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 12.807 % from Dec 1997 (Median) to 2016, with 20 observations. The data reached an all-time high of 16.022 % in 1997 and a record low of 11.601 % in 2016. United States US: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

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Countries included : Australia / Canada / China / Europe / Japan / New Zealand / Switzerland / United Kingdom / United States

Column Descriptions:

• Country : The name of the country.
• Date : The date format (e.g., YYYY-MM-DD).
• Manufacturing PMI : Purchasing Managers' Index (PMI) for the manufacturing sector, indicating the economic health and activity level of the manufacturing industry.
• Services PMI : Purchasing Managers' Index (PMI) for the services sector, indicating the economic health and activity level of the services industry.
• Consumer Confidence : A measure of consumer sentiment or confidence in the economy, indicating consumers' optimism or pessimism about their financial situation and the overall state of the economy.
• Interest Rates : The prevailing interest rates set by the central bank or monetary authority, which influence borrowing costs and investment decisions.
• CPI YoY : Consumer Price Index (CPI) Year-over-Year change, indicating the percentage change in the average price level of a basket of consumer goods and services over the previous year.
• Core CPI : Core Consumer Price Index (CPI), which excludes volatile items such as food and energy prices, providing a measure of underlying inflation trends.
• Unemployment Rate : The percentage of the labor force that is unemployed and actively seeking employment, indicating the health of the labor market.
• GDP YoY : Gross Domestic Product (GDP) Year-over-Year change, indicating the percentage change in the total value of goods and services produced by a country's economy.
• Ticker: Ticker symbol for the corresponding financial asset or index.
• Open: The opening price of the financial asset or index on the specified date.
• High: The highest price of the financial asset or index during the specified date.
• Low: The lowest price of the financial asset or index during the specified date.
• Close: The closing price of the financial asset or index on the specified date.

Industrial Production in the United States increased 0.10 percent in August of 2025 over the previous month. This dataset provides the latest reported value for - United States Industrial Production MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Context

The dataset includes sectors that play an essential role in the Pakistani economy. Economic conditions are deteriorating as FY 2022 (July 2021-June 2022) draws close. Rising commodity prices and a large fiscal deficit have inflated the import bill, putting the country on the verge of a balance of payments crisis. The currency has sunk to an all-time low, while international reserves have dwindled to barely two months' import cover.

Content

This dataset contain columns:'Year', ' Crops ', 'Livestock', 'Forestry', ' Fishing', 'total Agricultural sectors', ' Mining and Quarrying, ' Manufacturing ', ' Large Scale', 'Small Scale', 'Slaughtering', 'Electricity generation & distribution and Gas distribution, , , , 'Construction', ' total Industrial Sectors ', 'Wholesale & Retail trade', 'Transport, Storage & Communication, 'Finance & Insurance', 'Housing Services ', 'General Government Services', 'Other Services, , 'total Services Sector ', 'GDP', 'Per Capita', 'Growth rate'

Acknowledgement

You can download, copy and share this dataset for analysis and can easily find Contributions of various sectors to Pakistan's GDP by data we can predict better and can analyze our community problems and solve them.

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https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F1c202260ec85a27eb9c2fc00260d0edb%2Ffile20a834a35dcd.gif?generation=1706476881533958&alt=media" alt=""> This dataset provides comprehensive insights into the top 100 companies in India, encompassing a diverse range of industries such as finance, manufacturing, telecommunications, and more. It includes essential attributes such as company rankings, market capitalization, share prices, revenue, and additional categorical information. The dataset offers a snapshot of the Indian business landscape, shedding light on key players, their financial standing, and their contributions to the country's economic growth.

With the growing importance of India in the global landscape, this dataset becomes a valuable tool for market analysis, industry comparisons, and understanding the economic dynamics of the Indian corporate sector. Let's explore some of the key aspects of this dataset in detail.

First and foremost, company rankings provide an immediate insight into which companies are at the top of the Indian market. This can be useful for investors, analysts, and researchers looking to identify market leaders and emerging trends. Additionally, the market capitalization of companies is a key indicator of their size and influence in the market. This can be used to assess the financial stability of companies and their ability to withstand economic challenges.

Share prices are another crucial aspect of the dataset. They can be used to track the performance of companies over time and identify investment opportunities. Company revenue provides insights into their financial health and their growth over time, which is vital for investors and analysts looking to make informed decisions.

Furthermore, the dataset includes categorized information that allows for sector-wise analysis. This is critical for understanding how different sectors are contributing to the Indian economy and how they compare to each other. For example, one can investigate how technology companies are performing compared to manufacturing or energy companies.

The analysis of this dataset can have various practical applications. Investors can use it to identify investment opportunities, while researchers can use it to study economic trends and assess the impact of companies on the country's growth. Additionally, regulators and policymakers can use this data to make informed decisions about the business environment in India.

In summary, this dataset is a valuable source of information about the Indian corporate landscape. It offers a comprehensive view of the top 100 companies in the country, their financial figures, and their impact on the economy. By exploring and analyzing this data, valuable insights can be gained for making informed decisions in investments, market research, and economic development. It is a valuable tool for anyone interested in the Indian market and its ongoing growth.

Aruba AW: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 2.562 % in 2019. This records a decrease from the previous number of 3.225 % for 2018. Aruba AW: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 3.689 % from Dec 1995 (Median) to 2019, with 25 observations. The data reached an all-time high of 6.671 % in 2008 and a record low of 1.992 % in 2012. Aruba AW: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Aruba – Table AW.World Bank.WDI: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.

Industrial Production in China increased 4.90 percent in October of 2025 over the same month in the previous year. This dataset provides - China Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Manufacturing Production MoM in the United States increased to 0.20 percent in August from -0.10 percent in July of 2025. This dataset includes a chart with historical data for the United States Manufacturing Production MoM.

Bulgaria BG: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 36.661 % in 2022. This records an increase from the previous number of 34.719 % for 2021. Bulgaria BG: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 28.090 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 36.661 % in 2022 and a record low of 22.233 % in 1995. Bulgaria BG: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing;United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database;;

As the world's second-largest economy, information about China is in high demand. In addition, its prospect has increased due to the opening of A-share markets to foreign investors. China is different from western economies when it comes to the generation of data, as Chinese consumers do not generate data through traditional providers such as Google. Instead, this data is generated by Chinese proxies.

The power of SpaceKnow Nowcasting data lies in its standardization. You can safely compare all our Chinese data with each other or to other datasets for other countries. SpaceKnow obtains data from radar satellites which consistently deliver data down to earth. SpaceKnow monitors over 10,000 locations in China.

About data: SpaceKnow data has a history since January 2017 SpaceKnow data is updated on a weekly and daily basis SpaceKnow data provides the latest data point to customers instantly SpaceKnow data is transparent about locations from which it collects data SpaceKnow data is not affected by weather conditions

Available datasets: China Country Nowcasting Weekly updated change data Indices focused on the macroeconomic sector: manufacturing, mining with traditional benchmark predictions Indices focused on sectors: mining, automotive, chemical, transport, etc. Indices focused on regional and country pollution Industry indices provide information in z-score and percentages for low, normal and high activity Pollution indices provide information in mol/m2 and parts per billion for methane

China Nowcasting Summary:

China Logistic Centres Daily updated data aggregated by country and segregated by the 17 Chinese provinces Dataset provides three types of indices with different information: A level index that captures the long-term trends in the level of domestic trade A change index that captures the total flow of activity entering and exiting the monitored locations An activity index that captures different types of activity across time Indices are level in squared meters, change in z-score and activity in percentage

China Retail Indices Daily updated level data in squared meters Indices capture retail-related activity across China over parking areas that belong to shopping centres and metro stations Indices estimate the current state of the retail market in China Retail Parking Retail Metro Parking

China Automotive Companies [Released] Daily updated level data in squared meters Indices cover the production of assembled cars, movement at employee parking areas Covered companies: SAIC, BBAC, Changan, Dongfeng, Geely, GAC Group, Tesla Shanghai and more

China Coal [Coming Soon] Daily updated level data in squared meters Focus on mines, storage, processing and distribution centres Indices cover country and also region levels for Xinjiang, Shaanxi, Shanxi, Inner Mongolia China Truck Stops [Coming Soon]

Brazil BR: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 31.338 % in 2022. This stayed constant from the previous number of 31.338 % for 2021. Brazil BR: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 35.340 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 51.022 % in 1995 and a record low of 30.403 % in 2020. Brazil BR: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing;United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database;;

Thailand TH: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 40.709 % in 2015. This stayed constant from the previous number of 40.709 % for 2014. Thailand TH: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 40.668 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 46.378 % in 2006 and a record low of 20.685 % in 1993. Thailand TH: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

Estonia EE: GDP: % of Manufacturing: Chemicals data was reported at 3.656 % in 2014. This records an increase from the previous number of 3.534 % for 2013. Estonia EE: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 4.382 % from Dec 1992 (Median) to 2014, with 23 observations. The data reached an all-time high of 5.956 % in 2008 and a record low of 3.002 % in 2012. Estonia EE: GDP: % of Manufacturing: Chemicals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Estonia – Table EE.World Bank: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.; ; United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.; ;