ABOUT

The Global Population Growth Dataset provides a comprehensive record of population trends across various countries over multiple decades. It includes detailed information such as the country name, ISO3 country code, year-wise population data, population growth, and growth rate. This dataset is valuable for researchers, demographers, policymakers, and data analysts interested in studying population dynamics, demographic trends, and economic development.

Key features of the dataset:

✅ Covers multiple countries and regions worldwide
✅ Includes historical and recent population data
✅ Provides year-wise population growth and growth rate (%)
✅ Categorizes data by country and decade for better trend analysis

This dataset serves as a crucial resource for analyzing global population trends, understanding demographic shifts, and supporting socio-economic research and policy-making.

FILE INFORMATION

The dataset consists of structured records related to country-wise population data, compiled from official sources. Each file contains information on yearly population figures, growth trends, and country-specific data. The structured format makes it useful for researchers, economists, and data scientists studying demographic patterns and changes. The file type is CSV.

COLUMNS DESCRIPTION

• Country – The name of the country.
• ISO3 – The three-letter ISO code of the country.
• Year – The year corresponding to the population data, useful for trend analysis.
• Population – The total population of the country for the given year.
• Population Growth – The absolute increase in population compared to the previous year.
• Growth Rate (%) – The percentage change in population compared to the previous year.
• Decade – The decade classification (e.g., 1990s, 2000s) for grouping long-term trends.

Marine Growth

## Overview

Marine Growth is a dataset for object detection tasks - it contains Marine Growth annotations for 781 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 [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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

In 2024, the growth of the real gross domestic product (GDP) in Argentina amounted to about -1.72 percent. Between 1980 and 2024, the figure dropped by approximately 2.42 percentage points, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2030, the growth will rise by around 4.69 percentage points, showing an overall upward trend with periodic ups and downs.This indicator describes the annual change in the gross domestic product at constant prices, expressed in national currency units. Here the gross domestic product represents the total value of the final goods and services produced during a year.

Consumption growth in the USA, March, 2025 The most recent value is 5.34 percent as of Q1 2025, a decline compared to the previous value of 5.66 percent. Historically, the average for the USA from Q1 1961 to Q1 2025 is 6.65 percent. The minimum of -10.4 percent was recorded in Q2 2020, while the maximum of 21.74 percent was reached in Q2 2021. | TheGlobalEconomy.com

In 2024, the growth of the real gross domestic product (GDP) in Ecuador was estimated at about -1.96 percent. Between 1980 and 2024, the figure dropped by approximately 6.86 percentage points, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2030, the growth will rise by around 4.44 percentage points, showing an overall upward trend with periodic ups and downs.This indicator describes the annual change in the gross domestic product at constant prices, expressed in national currency units. Here the gross domestic product represents the total value of the final goods and services produced during a year.

This study used a mark-recapture method to examine the patterns of shell growth of Lepsiella vinosa on the rocky shore at West Head, Victoria. Individuals were collected from the West Head shore on 24th March 1974 and 29th May 1975. They were transported back to the laboratory and marked with individually labeled tags. The next day they were released in the field in the areas from where they were collected. Study sites 1 and 2 were searched on 36 occasions between 25th April 1974 and 28th June 1978. The number of marked individuals, the number of unmarked individuals, and the shell length of marked individuals in the study sites were recorded. When marked individuals were recpatured on successive 1-month or 2-monthly sampling occasions the monthly or mean monthly growth-increments were calculated.

There was a total of 254 marked individuals recapture and a total of 626 growth increments recorded. The growth rate of L.vinosa depended on the size of the individual and ranged between 0.025 and 0.4 cm per month. Maximum growth of L.vinosa in all size classes occurred between September and October. Variation in growth rate between seasons was most evident in size classes from 1.00 to 1.09 cm and less pronounced in larger size classes from 1.10 to 1.59cm.

Quarter by quarter updates of the number of maps, charts and datasets made available to the public

Portugal PT: GDP: Growth: Gross Value Added: Industry data was reported at 3.452 % in 2017. This records an increase from the previous number of 0.583 % for 2016. Portugal PT: GDP: Growth: Gross Value Added: Industry data is updated yearly, averaging 0.683 % from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 7.492 % in 1996 and a record low of -8.891 % in 2009. Portugal PT: GDP: Growth: Gross Value Added: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Portugal – Table PT.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. 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.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services 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: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. 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 industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Full Year GDP Growth in Germany decreased by 0.20 percent in 2024 from -0.30 percent in 2023. This dataset includes a chart with historical data for Germany Full Year GDP Growth.

Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data was reported at -0.194 % in 2023. This records a decrease from the previous number of 0.779 % for 2022. Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 0.153 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 9.305 % in 2009 and a record low of -36.825 % in 2013. Central African Republic CF: GDP: Growth:(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

United States US: Broad Money: Average Annual Growth Rate data was reported at 3.760 % in 2016. This records an increase from the previous number of 3.408 % for 2015. United States US: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 8.143 % from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 13.955 % in 1971 and a record low of -2.741 % in 2010. United States US: Broad Money: Average Annual Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Plant Growth Monitoring

## Overview

Plant Growth Monitoring is a dataset for object detection tasks - it contains Monitoring Height annotations for 600 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 [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Key information about Vietnam Tourism Revenue Growth

• Vietnam Tourism Revenue grew 23.8 % YoY in Dec 2024, compared with an increase of 37.0 % YoY in the previous year
• Vietnam Tourism Revenue Growth rate data is updated yearly, available from Dec 2001 to Dec 2024
• The data reached an all-time high of 175.0 % in Dec 2022 and a record low of -58.7 % in Dec 2020

CO: GDP: Growth: Final Consumption Expenditure: Household data was reported at 1.096 % in 2023. This records a decrease from the previous number of 10.684 % for 2022. CO: GDP: Growth: Final Consumption Expenditure: Household data is updated yearly, averaging 4.038 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 14.724 % in 2021 and a record low of -5.396 % in 1999. CO: GDP: Growth: Final Consumption Expenditure: Household data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household and NPISHs final consumption expenditure based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. Household and NPISHs final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. This indicator includes the expenditures of nonprofit institutions serving households even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

The growth of cultured juvenile fish is usually quantified by two indexes, the specific growth rate or SGR, and the thermal-unit growth coefficient or TGC. The SGR is a relative growth index based on logarithms of body weights, and it decreases with body weight. The classical TGC is based on one-third powers of body weights and the summation of temperature over time. It can also depend on body weight, but it is possible to release this dependency by empirically adjusting the power function in its mathematical definition. These two indexes are usually presented in the same article to compare the growth attained by different groups of fish subjected to different experimental treatments. However, no formal framework linking both indexes is available for researchers up to the moment, the meanings of SGR and TGC remaining unrelated. The present work shows that the TGC of a group of fish growing at a given temperature can be expressed as a function of the SGR. In addition, the relationship between SGR and TGC here reported provides the basis to re-defined the TGC as a size-independent index with application to fish culture.

The latest data from show economic growth of 3.6 pour cent, which is a decrease from the rate of growth of 5.5 pour cent in the previous quarter and
an increase compared to the growth rate of 2 pour cent in the same quarter last year. The economic growth time series for Angola cover the period...

Growth Management Area for the City of Fort Collins

The growth of the real gross domestic product (GDP) in Gabon was estimated at approximately 3.07 percent in 2024. Between 1981 and 2024, the growth rose by around 7.07 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The growth is forecast to decline by about 0.20 percentage points from 2024 to 2030, fluctuating as it trends downward.This indicator describes the annual change in the gross domestic product at constant prices, expressed in national currency units. Here the gross domestic product represents the total value of the final goods and services produced during a year.