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This dataset is about countries in Europe. It has 44 rows. It features 3 columns: GDP, and alternative and nuclear energy.
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This scatter chart displays GDP (current US$) against alternative and nuclear energy (% of total energy use) in Oceania. The data is about countries.
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United Kingdom UK: GDP: USD data was reported at 2,622.434 USD bn in 2017. This records a decrease from the previous number of 2,650.850 USD bn for 2016. United Kingdom UK: GDP: USD data is updated yearly, averaging 918.504 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3,074.360 USD bn in 2007 and a record low of 72.328 USD bn in 1960. United Kingdom UK: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Gross Domestic Product: Nominal. 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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;
The impact of alternative input values for input parameters on GDP.
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Norway NO: GDP: USD data was reported at 398.832 USD bn in 2017. This records an increase from the previous number of 371.075 USD bn for 2016. Norway NO: GDP: USD data is updated yearly, averaging 102.267 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 523.502 USD bn in 2013 and a record low of 5.163 USD bn in 1960. Norway NO: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Gross Domestic Product: Nominal. 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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;
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'Estimates of the key components of GDP from the output, expenditure and income approaches.' Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: GDP
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This dataset is about countries in Africa. It has 54 rows. It features 3 columns: GDP, and alternative and nuclear energy.
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The Gross Domestic Product per capita (gross domestic product divided by mid-year population converted to international dollars, using purchasing power parity rates) has been identified as an important determinant of susceptibility and vulnerability by different authors and used in the Disaster Risk Index 2004 (Peduzzi et al. 2009, Schneiderbauer 2007, UNDP 2004) and is commonly used as an indicator for a country's economic development (e.g. Human Development Index). Despite some criticisms (Brooks et al. 2005) it is still considered useful to estimate a population's susceptibility to harm, as limited monetary resources are seen as an important factor of vulnerability. However, collection of data on economic variables, especially sub-national income levels, is problematic, due to various shortcomings in the data collection process. Additionally, the informal economy is often excluded from official statistics. Night time lights satellite imagery of NOAA grid provides an alternative means for measuring economic activity. NOAA scientists developed a model for creating a world map of estimated total (formal plus informal) economic activity. Regression models were developed to calibrate the sum of lights to official measures of economic activity at the sub-national level for some target Country and at the national level for other countries of the world, and subsequently regression coefficients were derived. Multiplying the regression coefficients with the sum of lights provided estimates of total economic activity, which were spatially distributed to generate a 30 arc-second map of total economic activity (see Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010).Shedding light on the global distribution of economic activity. The Open Geography Journal (3), 148-161). We adjusted the GDP to the total national GDPppp amount as recorded by IMF (International Monetary Fund) for 2010 and we divided it by the population layer from Worldpop Project. Further, we ran a focal statistics analysis to determine mean values within 10 cell (5 arc-minute, about 10 Km) of each grid cell. This had a smoothing effect and represents some of the extended influence of intense economic activity for local people. Finally we apply a mask to remove the area with population below 1 people per square Km.
This dataset has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.
Data publication: 2014-06-01
Supplemental Information:
ClimAfrica was an international project funded by European Commission under the 7th Framework Programme (FP7) for the period 2010-2014. The ClimAfrica consortium was formed by 18 institutions, 9 from Europe, 8 from Africa, and the Food and Agriculture Organization of United Nations (FAO).
ClimAfrica was conceived to respond to the urgent international need for the most appropriate and up-to-date tools and methodologies to better understand and predict climate change, assess its impact on African ecosystems and population, and develop the correct adaptation strategies. Africa is probably the most vulnerable continent to climate change and climate variability and shows diverse range of agro-ecological and geographical features. Thus the impacts of climate change can be very high and can greatly differ across the continent, and even within countries.
The project focused on the following specific objectives:
Develop improved climate predictions on seasonal to decadal climatic scales, especially relevant to SSA;
Assess climate impacts in key sectors of SSA livelihood and economy, especially water resources and agriculture;
Evaluate the vulnerability of ecosystems and civil population to inter-annual variations and longer trends (10 years) in climate;
Suggest and analyse new suited adaptation strategies, focused on local needs;
Develop a new concept of 10 years monitoring and forecasting warning system, useful for food security, risk management and civil protection in SSA;
Analyse the economic impacts of climate change on agriculture and water resources in SSA and the cost-effectiveness of potential adaptation measures.
The work of ClimAfrica project was broken down into the following work packages (WPs) closely connected. All the activities described in WP1, WP2, WP3, WP4, WP5 consider the domain of the entire South Sahara Africa region. Only WP6 has a country specific (watershed) spatial scale where models validation and detailed processes analysis are carried out.
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Selvaraju Ramasamy
Resource constraints:
copyright
Online resources:
Project deliverable D4.1 - Scenarios of major production systems in Africa
Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations
In 2024, the gross domestic product of the Republic of Ireland was approximately ***** billion euros, compared with ******billion euros in 2023. Due to the impact that a high number of multinational corporations have on Irish GDP, a modified indicator based on GNI (Gross National Income) gives an alternative measurement of the Irish economy. Based on modified GNI, the size of Ireland's economy was just over ****billion euros in 2024, compared with ******billion euros in 2023.
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Alternative data sets are widely used for macroeconomic nowcasting together with machine learning–based tools. The latter are often applied without a complete picture of their theoretical nowcasting properties. Against this background, this paper proposes a theoretically grounded nowcasting methodology that allows researchers to incorporate alternative Google Search Data (GSD) among the predictors and that combines targeted preselection, Ridge regularization, and Generalized Cross Validation. Breaking with most existing literature, which focuses on asymptotic in-sample theoretical properties, we establish the theoretical out-of-sample properties of our methodology and support them by Monte-Carlo simulations. We apply our methodology to GSD to nowcast GDP growth rate of several countries during various economic periods. Our empirical findings support the idea that GSD tend to increase nowcasting accuracy, even after controlling for official variables, but that the gain differs between periods of recessions and of macroeconomic stability.
Poland's seasonally unadjusted gross domestic product (GDP) in the first quarter of 2025 increased by *** percent year-on-year. The highest gross added value occurred in the scientific and administrative services, which was *** percent higher than in the corresponding period of 2024. The development of the Polish GDP GDP is calculated from the sum of private and government consumption expenditure, investments and exports less imports. The Polish GDP recorded a remarkable increase between 1987 and 2029, with the forecasts for the period between 2023 and 2029 showing particularly high growth. Poland's GDP in international comparison Compared to other Central and Eastern European countries, Poland's GDP grew more than almost any other by the end of 2023, with only two countries having shown higher growth. A global comparison showed that Poland's GDP followed a similar growth pattern to global GDP. Specifically, this meant strong and relatively steady growth, with only slight interruptions during the 2009 financial crisis and the 2020 COVID-19 pandemic.
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Laos LA: GDP: USD data was reported at 16.853 USD bn in 2017. This records an increase from the previous number of 15.806 USD bn for 2016. Laos LA: GDP: USD data is updated yearly, averaging 1.825 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 16.853 USD bn in 2017 and a record low of 598.961 USD mn in 1988. Laos LA: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Gross Domestic Product: Nominal. 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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;
The Covid-19 pandemic saw growth fall by 2.2 percent, compared with an increase of 2.5 percent the year before. The last time the real GDP growth rates fell by a similar level was during the Great Recession in 2009, and the only other time since the Second World War where real GDP fell by more than one percent was in the early 1980s recession. The given records began following the Wall Street Crash in 1929, and GDP growth fluctuated greatly between the Great Depression and the 1950s, before growth became more consistent.
In 2023, Puerto Rico and The Bahamas were the states with the highest gross domestic product (GDP) per capita in Latin America and the Caribbean. The average GDP generated per person in the Bahamas amounted to 34,749 U.S. dollars, whereas the average wealth created per capita in Puerto Rico was estimated at around 34,749 U.S. dollars. In that same year, this region's lowest GDP per capita was that of Haiti, at less than 1,693 U.S. dollars per person per year. The largest economies in Latin America
GDP is the total value of all goods and services produced in a country in a year. It is an important indicator to measure the economic strength of a country and the average wealth of its population. By far, the two largest economies in the region are Brazil and Mexico, both registering GDPs three times bigger than the third place, Argentina. Nonetheless, they are the two most populated countries by a great margin.
Key economic indicators of Latin America
Latin America emerges as an important region in the world economy, as of 2023, around 7.3 percent of the global GDP, a similar share to the Middle East. Nevertheless, the economic development of most of its countries has been heavily affected by other factors, such as corruption, inequality, inflation, or crime and violence. Countries such as Venezuela, Suriname, and Argentina are constantly ranking among the highest inflation rates in the world. While Jamaica, Ecuador, and Haiti rank as some of the most crime-ridden states.
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This dataset contains annual GDP growth for each country.
This dataset contains data about 264 countries. There is some missing data for several countries. Format of data: .csv
Column names and description: - "Country Name" - name of country - "Country Code" - code of country (3 letters) - "Indicator Name" - all fields filled with 'GDP (current US$)' - "Indicator Code" - all fields contains 'NY.GDP.MKTP.CD' value - Colums for each year (1960 - 2020)
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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
World Bank national accounts data, and OECD National Accounts data files. Source of data: https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG
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Comparison of developments in GDP and the labour market in the latest quarter. Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: GDP and Labour Market coherence
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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
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Greece GR: GDP: USD data was reported at 200.288 USD bn in 2017. This records an increase from the previous number of 192.691 USD bn for 2016. Greece GR: GDP: USD data is updated yearly, averaging 77.715 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 354.461 USD bn in 2008 and a record low of 4.447 USD bn in 1960. Greece GR: GDP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Gross Domestic Product: Nominal. 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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;
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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. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
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