Economic growth, quarterly in Mexico, December, 2024 The most recent value is -0.6 percent as of Q4 2024, a decline compared to the previous value of 1.08 percent. Historically, the average for Mexico from Q2 1960 to Q4 2024 is 0.86 percent. The minimum of -18.93 percent was recorded in Q2 2020, while the maximum of 15.47 percent was reached in Q3 2020. | TheGlobalEconomy.com

A cross-national data archive located in Luxembourg that contains two primary databases: the Luxembourg Income Study Database (LIS Database) includes income microdata from a large number of countries at multiple points in time. The newer Luxembourg Wealth Study Database(LWS Database) includes wealth microdata from a smaller selection of countries. Both databases include labor market and demographic data as well. Our mission is to enable, facilitate, promote, and conduct cross-national comparative research on socio-economic outcomes and on the institutional factors that shape those outcomes. Since its beginning in 1983, the LIS has grown into a cooperative research project with a membership that includes countries in Europe, North America, and Australia. The database now contains information for more than 30 countries with datasets that span up to three decades. The LIS databank has a total of over 140 datasets covering the period 1968 to 2005. The primary objectives of the LIS are as follows: * Test the feasibility for creating a database containing social and economic data collected in household surveys from different countries; * Provide a method which allows researchers to use the data under restrictions required by the countries providing the data; * Create a system that allows research requests to be received from and returned to users at remote locations; and * Promote comparative research on the social and economic status of various populations and subgroups in different countries. Data Availability: The dataset is accessed globally via electronic mail networks. Extensive documentation concerning technical aspects of the survey data, variables list, and the social institutions of income provision in member countries are also available to users through the project Website. * Dates of Study: 1968-present * Study Features: International * Sample Size: 30+ Countries Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00150

The Economic Transformation Database of Transition Economies [ETD-TE] provides a balanced panel of internationally comparable sectoral data on output and employment in fourteen former-Soviet Republics. The ETD-TE is designed to easily combine with the GGDC/UN-WIDER Economic Transformation Database [ETD]. It enables a comparative analysis of growth and structural transformation between the former-Soviet Union countries, and other advanced and developing countries. More information about this data set can be found on the associated page on the website of the Groningen Growth and Development Centre. When using these data (for whatever purpose), please make the following reference: Hamilton, C. and G. J. de Vries (2023). The Structural Transformation of Transition Economies. GGDC Research Memorandum 196 User information The ETD-TE includes the following data: Countries Armenia Azerbaijan Belarus Estonia Georgia Kazakhstan Kyrgyzstan Latvia Lithuania Moldova Russian Federation Tajikistan Ukraine Uzbekistan Variables Persons Employed (thousands) Constant price value added in local currency (millions) Nominal price value added in local currency (millions) *Where countries changed or revalued currency during the sample period, all VA data is provided in units of the most recent/current currency. Sectors Agriculture, ISIC Rev. 4 code: A Mining, ISIC Rev. 4 code: B Manufacturing, ISIC Rev. 4 code: C Utilities, ISIC Rev. 4 code: D+E Construction, ISIC Rev. 4 code: F Trade Services, ISIC Rev. 4 code: G+I Transport, ISIC Rev. 4 code: H Business Services, ISIC Rev. 4 code: J+M+N Financial Services, ISIC Rev. 4 code: K Real Estate, ISIC Rev. 4 code: L Government Services, ISIC Rev. 4 code: O+P+Q Other Services, ISIC Rev. 4 code: R+S+T+U Time period Persons employed and constant price value added is provided annually for the period 1990-2019, and nominal price value added for the period 1995-2019.

Economic growth, quarterly in Greece, December, 2024 The most recent value is 0.9 percent as of Q4 2024, an increase compared to the previous value of 0.4 percent. Historically, the average for Greece from Q2 1995 to Q4 2024 is 0.29 percent. The minimum of -13.8 percent was recorded in Q2 2020, while the maximum of 6.1 percent was reached in Q3 2020. | TheGlobalEconomy.com

Brazil Imports: FOB: NCM: Volume: MEM: Text Term Q.Oper.C/Cod.D/Transm.Baudot data was reported at 0.000 kg in Mar 2019. This records a decrease from the previous number of 8.000 kg for Feb 2019. Brazil Imports: FOB: NCM: Volume: MEM: Text Term Q.Oper.C/Cod.D/Transm.Baudot data is updated monthly, averaging 0.000 kg from Jan 1997 (Median) to Mar 2019, with 261 observations. The data reached an all-time high of 2,450.000 kg in Oct 2015 and a record low of 0.000 kg in Mar 2019. Brazil Imports: FOB: NCM: Volume: MEM: Text Term Q.Oper.C/Cod.D/Transm.Baudot data remains active status in CEIC and is reported by Ministry of Development, Industry And Trade. The data is categorized under Brazil Premium Database’s Machinery and Equipment Sector – Table BR.RMC008: Machinery and Equipment Imports: Machinery, Electrical Equipment, Materials and Parts: Volume.

Fixed capital formation by groups of provinces, province and COROP region.

This table concerns regional figures on gross fixed capital formation (on an owner basis) by industry. The regional figures are in accordance with the national accounts, figures on gross fixed capital formation from production and imports (so, excluding sales of existing assets).

The new Standard Industrial Classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union. It is in use for the year 2008 onwards.

Data available from: 1995.

Status of the figures: The figures of the years 1995 to 2021 are final.

Changes as of December 9th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

Analysis of price formation in industries in the Netherlands, 1961-1979, with emphasis on the role of foreign competition and market structure.

C. Zeelenberg, Industrial Price Formation (Contributions to Economic Analysis, vol. 158), North-Holland, Amsterdam 1986, ISBN: 0 444 70102 8 https://openlibrary.org/books/OL2725849M

Economic growth, quarterly in Finland, December, 2024 The most recent value is 0 percent as of Q4 2024, a decline compared to the previous value of 0.6 percent. Historically, the average for Finland from Q2 1990 to Q4 2024 is 0.35 percent. The minimum of -6.5 percent was recorded in Q1 2009, while the maximum of 4.9 percent was reached in Q3 2020. | TheGlobalEconomy.com

This study charted Finnish-speaking upper secondary school students' opinions on the Economics course YH2 and the textbooks used during the course, as well as views on how the course relates to such themes as sustainable development and economic growth. First, the respondents' general interest in matters such as the economy, domestic and international news and party politics were examined. Next, the respondents were asked how useful, practical or interesting they thought the course was in general. They were asked to evaluate the effect of the course on making the students think about sustainable development and understanding it. The respondents were also asked if it was possible to combine economic growth and ecologically sustainable development, and they were asked to give reasons for their opinion. Next, the respondents were presented with a set of statements regarding economic growth, market economy and sustainable development, such as "Economic growth is a good thing", "Consumer choices direct industry to act more ethically", "It is possible to sustain economic growth in the long run", and "Wealth is a consequence of being diligent, creative, smart and industrious". Opinions on economic decision-making carried out by economists and politicians were also examined, e.g. with regard to whether or not politicians should consider the opinions of experts when making decisions related to the economy. Questions about teaching and the textbook used during the course charted their practicality, and it was asked whether or not topics were discussed from varying perspectives. Finally, the respondents were asked if the economics course should contain more topics concerning ethics in economic life, the global/national perspective or the individual's perspective. Background variables included the respondent's gender, type of the municipality in which the respondent's school is located and the textbook used during the course.

Explore the growth of Gross Domestic Product (GDP) at constant prices by main ISIC quarter on quarter with this comprehensive dataset. Analyze economic activity and trends in GDP data to gain insights into the economy of various countries.

GDP data, Economy, Economic Activity, GDP

['GDP data', 'Economy', 'Economic Activity', 'GDP'] Follow https://data.kapsarc.org for timely data to advance Economy research.

Freedman, Matthew, and Owens, Emily G., (2016) "Your Friends and Neighbors: Localized Economic Development and Criminal Activity." Review of Economics and Statistics 98:2, 233-253.

Assessment of the further development of Berlin and attitude to recognition of the GDR.

Topics: Assessment of the political development of Berlin in the next few years and judgement on the policies of the GDR.

Demography: age (classified); sex; marital status; professional position; employment.

This table contents figures of the Regional accounts. Regional accounts are consistent with National accounts, except for differences due to rounding, and also with Eurostat's European System of National and Regional Accounts 2010 (ESA 2010). The new Standard Industrial Classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union. It is in use for the year 2008 onwards. The amounts in this publication are in current prices only.

Data available from: 1995

Status of the figures: The figures of the year 1995 to 2018 are final. Data of the year 2019 are also final, but the figures on Labour input of employed persons and Labour input of employees are an exception, due to the late availability of annual data on self-employed persons. These final figures are published a year after.

Changes as of November 16th, 2021: The figures of the year 2018 are final and the figures of the provisional year 2019 are added.

When will new figures be published? New figures of reporting year 2020 will be published in October 2022.

Brazil Loans: Economic Activity: Demand: Exports of Goods and Services data was reported at 300.668 1995=100 in Mar 2018. This records an increase from the previous number of 287.233 1995=100 for Feb 2018. Brazil Loans: Economic Activity: Demand: Exports of Goods and Services data is updated monthly, averaging 202.642 1995=100 from Jan 1991 (Median) to Mar 2018, with 327 observations. The data reached an all-time high of 342.494 1995=100 in Jun 2015 and a record low of 62.450 1995=100 in Sep 1991. Brazil Loans: Economic Activity: Demand: Exports of Goods and Services data remains active status in CEIC and is reported by Serasa Experian. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB032: Loans: Economic Activity. Constructed by making use of established statistical techniques for temporal disaggregation, aims to provide a set of statistics on monthly basis to reflect on this time scale, the evolution of the main variable that synthesizes the evolution of the Brazilian economy: Gross Domestic Product (GDP) computed under the Quarterly National Accounts System, published by IBGE (Brazilian Institute of Economics and Statistics). The indicators presented in this table specifically cover all the Brazilian territory and its results are divided into three major groups: GDP, Supply and Demand. GDP: Based on the Market Prices indicator Supply: Composed of the most significant supply indicators: Taxes on Products, Agricultural, Industry and Services Demand: It is composed by the most significant demand indicators: Household Consumption, Government Consumption, Gross Fixed Capital Formation, Exports of Goods and Services and Imports of Goods and Services. Construído através da utilização de técnicas estatísticas consagradas de desagregação temporal, o Indicador Serasa Experian de Atividade Econômica (PIB Mensal) tem por objetivo fornecer um conjunto de estatísticas de alta freqüência, isto é, de periodicidade mensal, que reflitam, nesta escala de tempo, a evolução da principal variável que sintetiza a evolução da economia brasileira: o Produto Interno Bruto (PIB) computado no âmbito do Sistema de Contas Nacionais Trimestrais, divulgado pelo IBGE. Os indicadores apresentados nesta tabela cobrir especificamente todo o território brasileiro e seus resultados são divididos em três grandes grupos: o PIB, Oferta e Demanda. PIB: Com base no indicador de Preços de Mercado Oferta: Composto pelos indicadores de oferta mais significativas: Impostos sobre Produtos, Agropecuária, Indústria e Serviços Demanda: É composto pelos indicadores de demanda mais significativas: consumo das famílias, o Consumo do Governo, a Formação Bruta de Capital Fixo, as Exportações de Bens e Serviços e Importações de Bens e Serviços.

As of the third quarter of 2024, the GDP of the U.S. grew by 2.8 percent from the second quarter of 2024. GDP, or gross domestic product, is effectively a count of the total goods and services produced in a country over a certain period of time. It is calculated by first adding together a country’s total consumer spending, government spending, investments and exports; and then deducting the country’s imports. The values in this statistic are the change in ‘constant price’ or ‘real’ GDP, which means this basic calculation is also adjusted to factor in the regular price changes measured by the U.S. inflation rate. Because of this adjustment, U.S. real annual GDP will differ from the U.S. 'nominal' annual GDP for all years except the baseline from which inflation is calculated. What is annualized GDP? The important thing to note about the growth rates in this statistic is that the values are annualized, meaning the U.S. economy has not actually contracted or grown by the percentage shown. For example, the fall of 29.9 percent in the second quarter of 2020 did not mean GDP is suddenly one third less than a year before. In fact, it means that if the decline seen during that quarter continued at the same rate for a full year, then GDP would decline by this amount. Annualized values can therefore exaggerate the effect of short-term economic shocks, as they only look at economic output during a limited period. This effect can be seen by comparing annualized quarterly growth rates with the annual GDP growth rates for each calendar year.

Translation memories from the language data of the Swedish Agency for Economic and Regional Growth.

Excel file with over 16000 rows and several languages. Source language is Swedish. The memories have resulted from translations made by Semantix for the Swedish Agency for Economic and Regional Growth.

Ecuador Banking Survey: Financial System: Financial Institutions: Liabilities: Quasi-money: Restricted Deposits data was reported at 1.500 USD bn in Jun 2018. This records an increase from the previous number of 1.482 USD bn for May 2018. Ecuador Banking Survey: Financial System: Financial Institutions: Liabilities: Quasi-money: Restricted Deposits data is updated monthly, averaging 535.480 USD mn from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 1.500 USD bn in Jun 2018 and a record low of 0.000 USD mn in Apr 2006. Ecuador Banking Survey: Financial System: Financial Institutions: Liabilities: Quasi-money: Restricted Deposits data remains active status in CEIC and is reported by Central Bank of Ecuador. The data is categorized under Global Database’s Ecuador – Table EC.KA005: Banking Survey.

This dataset represents Exclusive Economic Zones (EEZ) of the world. Up to now, there was no global public domain cover available. Therefore, the Flanders Marine Institute decided to develop its own …Show full descriptionThis dataset represents Exclusive Economic Zones (EEZ) of the world. Up to now, there was no global public domain cover available. Therefore, the Flanders Marine Institute decided to develop its own database. The database includes two global GIS-layers: one contains polylines that represent the maritime boundaries of the world countries, the other one is a polygon layer representing the Exclusive Economic Zone of countries. The database also contains digital information about treaties. Please note that the EEZ shapefile also includes the internal waters of each country http://www.marineregions.org/eezmethodology.php

Assessment of the further economic development in Berlin and satisfaction with the government.

Topics: Assessment of the political and economic development of Berlin in the next few years; concern about an impending economic crisis; satisfaction wi

This table includes information on the number of local units of enterprises and institutions (establishments) broken down by the National Classification of Economic Activity 2008 (NCEA 2008, based on NACE Rev 2.0). Besides the breakdown by NCEA, the number of local units is broken down by regional characteristics. All characteristics of a region are derived from the municipality in which the local unit is located. The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Woerden, for example, was annexed by the province of Utrecht on 1 January 1989, and is classified under the province of Utrecht in the Table. The number of local units is rounded by a multiple of 5. The data refer to the situation on 1 January of the year of observation.

Data available from: 2006

Status of the figures: All data recorded in this publication are final data.

Last changes: Data broken down by NCEA 1993 are transformed into data broken down by NCEA 2008.

When will new figures be published? Changes as of 20 April 2012: This table has been stopped. Two points in the processing of the data have changed: - the statistical unit has been changed. - the main economic activity (NCEA 2008) of the local unit has been implemented. Due to these changes, the figures are no longer comparable to those of the previous years. Therefore a new table has been started from 2007 onwards.