This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 38 percent of respondents from China perceived products made in India as "slightly positive" or "very positive".
This statistic shows the value of exported commodities from India in 2023. In 2023, agricultural products worth 51.06 billion U.S. dollars were exported from India.
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The dataset tabulates the Indian Shores 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 Indian Shores 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 Indian Shores was 1,192, a 0.50% decrease year-by-year from 2022. Previously, in 2022, Indian Shores population was 1,198, a decline of 0.17% compared to a population of 1,200 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indian Shores decreased by 511. In this period, the peak population was 1,777 in the year 2004. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Shores Population by Year. You can refer the same here
This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 81 percent of respondents from India perceived products made in the United States as "slightly positive" or "very positive". The survey indicates that the U.S. products have the strongest reputation in India, followed by German products.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
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Unemployment Rate in India remained unchanged at 5.60 percent in June. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The dataset tabulates the Indian Point 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 Indian Point 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 2022, the population of Indian Point was 565, a 0.89% increase year-by-year from 2021. Previously, in 2021, Indian Point population was 560, an increase of 0.72% compared to a population of 556 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Indian Point decreased by 19. In this period, the peak population was 721 in the year 2009. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Point Population by Year. You can refer the same here
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The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Gain insights into the India Action Figures Market, size at USD 200 million in 2023, showcasing growth opportunities and key trends.
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The dataset tabulates the Indian Lake 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 Indian Lake 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 Indian Lake town was 1,358, a 0.44% decrease year-by-year from 2022. Previously, in 2022, Indian Lake town population was 1,364, a decline of 0.07% compared to a population of 1,365 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indian Lake town decreased by 117. In this period, the peak population was 1,475 in the year 2000. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Lake town Population by Year. You can refer the same here
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The dataset contains the All India and Year-wise general statistics of Post Offices containing data on the number of Post offices, Letter boxes(permanent), Total strength of establishments, Total Postal Mail Traffic, No. of money orders, No. of value payable articles sent.
Note: 1) Total strength of establishments is inclusive of audit and accounts establishments. 2) In number of money orders data relates to ordinary and telegraphic inland money orders issued and foreign money orders issued and paid. 3) Traffic figures as shown in tables may not tally due to rounding off.
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The dataset tabulates the Indian Village 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 Indian Village 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 Indian Village was 117, a 0% decrease year-by-year from 2022. Previously, in 2022, Indian Village population was 117, a decline of 0.85% compared to a population of 118 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indian Village decreased by 28. In this period, the peak population was 145 in the year 2000. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Village Population by Year. You can refer the same here
This layer shows All India Consumer Price Index Numbers (2011-21).Data Source: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab43.pdfThis web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.Notes: Weights of CPI-IW for food & non-food with base 2001=100 are 46.20% & 53.80% respectively and with base 2016=100 are 39.17% & 60.83% respectively. CPI- New Series (Rural, Urban & Combined) with base 2010=100 was introduced w.e.f. January 2011. The CPI-UNME has since been totally discontinued. CPI- New Series figures from 2013-14 is based on new base 2012=100. CPI- New Series figures for April and May 2020 are imputed indices released by NSO. CPI for Industrial Workers figures from September 2020 is based on new base 2016=100 CPI for Industrial Workers figure for 2020-21 is based on old base 2001=100 P: Provisional
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Context
The dataset tabulates the Indian Beach 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 Indian Beach 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 2022, the population of Indian Beach was 228, a 0.88% increase year-by-year from 2021. Previously, in 2021, Indian Beach population was 226, an increase of 1.80% compared to a population of 222 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Indian Beach increased by 133. In this period, the peak population was 228 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Beach Population by Year. You can refer the same here
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The dataset contains All India Yearly Export Index Quantum Units from Handbook of Statistics on Indian Economy.
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Context
The dataset tabulates the Indian Head Park 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 Indian Head Park 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 Indian Head Park was 3,900, a 0.66% decrease year-by-year from 2022. Previously, in 2022, Indian Head Park population was 3,926, a decline of 1.43% compared to a population of 3,983 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indian Head Park increased by 27. In this period, the peak population was 4,056 in the year 2020. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Head Park Population by Year. You can refer the same here
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Context
The dataset tabulates the Indian Wells 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 Indian Wells 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 2022, the population of Indian Wells was 4,860, a 0.33% increase year-by-year from 2021. Previously, in 2021, Indian Wells population was 4,844, an increase of 1.45% compared to a population of 4,775 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Indian Wells increased by 834. In this period, the peak population was 5,499 in the year 2019. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Indian Wells Population by Year. You can refer the same here
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The dataset contains All India Yearly Outstanding Non-Resident Indian (NRI) Deposits from Handbook of Statistics on Indian Economy.
Note: 1. The figures are outstanding as on last Friday of March. 2. The figures on NRI deposits are as reported by scheduled commercial banks in India.
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India Imports from New Zealand of Tailors' Dummies and Other Lay Figures; Automata was US$876 during 2023, according to the United Nations COMTRADE database on international trade. India Imports from New Zealand of Tailors' Dummies and Other Lay Figures; Automata - data, historical chart and statistics - was last updated on June of 2025.
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India Imports of tailors' dummies and other lay figures; automata from India was US$17.48 Thousand during 2024, according to the United Nations COMTRADE database on international trade. India Imports of tailors' dummies and other lay figures; automata from India - data, historical chart and statistics - was last updated on June of 2025.
This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 38 percent of respondents from China perceived products made in India as "slightly positive" or "very positive".