ODS / Goals and targets (from the 2030 Agenda for Sustainable Development) / Goal 8. Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all / Target 8.1. Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countries / Indicator 8.1.1. Annual growth rate of real GDP per capita

The statistic shows the gross domestic product (GDP) per capita in India from 1987 to 2030. In 2020, the estimated gross domestic product per capita in India amounted to about 1,915.55 U.S. dollars. See figures on India's economic growth here. For comparison, per capita GDP in China had reached about 6,995.25 U.S. dollars in 2013. India's economic progress India’s progress as a country over the past decade can be attributed to a global dependency on cheaper production of goods and services from developed countries around the world. India’s economy is built upon its agriculture, manufacturing and services sector, which, along with its drastic rise in population and demand for employment, led to a significant increase of the nation’s GDP per capita. Despite experiencing rather momentous economic gains since the mid 2000s, the Indian economy stagnated around 2012, with a decrease in general growth as well as the value of its currency. Residents and consumers in India have recently shown pessimism regarding the future of the Indian economy as well as their own financial situation, and with the recent economic standstill, consumer confidence in the country could potentially lower in the near future. Typical Indian exports consist of agricultural products, jewelry, chemicals and ores. Imports consist primarily of crude oil, gold and precious stones, used primarily in the manufacturing of jewelry. As a result, India has seen a rather highly increased demand of several gems in order to boost their jewelry industry and in general their exports. Although India does not export an extensive amount of goods, especially when considering the stature of the country, India has remained as one of the world’s largest exporters.

Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy

The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EFTA Members (except Liechtenstein) following ESA2010 transmission programme (Table 8) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively).

The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets.

In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system".

Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr).

The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices.

In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis.

Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations.

ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries.

A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU.

Key ratios are derived from non-financial transactions as follows:

• Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100;
• Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100;
• Gross investment rate of non-financial corporations (S.11): P51G/B1G*100;
• Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100;
• Total investment to GDP ratio (S.1): P51G/B1GQ*100;
• Business investment to GDP ratio: (S.11_P51G+S.12_P51G)/B1GQ*100;
• Government investment to GDP ratio: S.13_P51G/B1GQ*100;
• Households investment to GDP ratio: (S.14_S.15_P51G)/B1GQ*100.

With the following transaction codes:

• B8G - Gross saving;
• B6G - Gross disposable income;
• D8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable);
• P51G - Gross fixed capital formation;
• B1G - Gross value added;
• B1GQ – Gross domestic product;
• B2G_B3G - Gross operating surplus/ mixed income.

In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital.

The following key indicators are calculated in real or nominal terms:

• Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator);
• Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC);
• Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator).

With the following codes (the codes already described above have not been listed):

• B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind);
• P4 - Actual final consumption (adjusted for social transfers in kind);
• POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe);
• Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV10_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp).

The following key indicators combine non-financial with financial accounts:

• Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100;
• Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100);
• Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100
• Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100;
• Household net financial assets ratio (BF90/(B6G+D8net)).

With the following codes (the codes already described above have not been listed):

• B4N - Net entrepreneurial income;
• D5pay - Current taxes on income and wealth;
• AF2 - Currency and deposits;
• AF3 - Debt securities (excluding financial derivatives);
• AF4 - Loans;
• AF5 - Equity and investment fund shares;
• BF90 – Financial net worth.

"rec" means resources, that is transactions that add to the economic value of a given sector.

"pay" means "uses", that is transactions that reduce the economic value of a given sector.

"liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets.

See also the sector accounts dedicated website for more information.

The Gross Domestic Product (GDP) in Australia expanded 0.60 percent in the second quarter of 2025 over the previous quarter. This dataset provides - Australia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts (see domain nama10). The main specific regional issues are addressed in chapter 13 of ESA2010, but not practically specified. For practical rules and recommendations on sources and methods see the publication "Manual on regional accounts methods".

Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. In regional accounts it can be calculated from:

1. Output approach

GDP is the sum of gross value added of the various institutional sectors or the various industries plus taxes and less subsidies on products (which are not allocated to sectors and industries). It is also the balancing item in the total economy production account.

2. Income approach

GDP is the sum of uses in the total economy generation of income account: compensation of employees plus gross operating surplus and mixed income plus taxes on products less subsidies plus consumption of fixed capital.

Contrary to national accounts GDP is not compoled from the expenditure side in regional accounts due to data limitations on the inter-regional flows of goods and services.

The different measures for the regional GDP are absolute figures in € and Purchasing Power Standards (PPS), figures per inhabitant and relative data compared to the EU Member States average.

Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy

The statistic shows GDP in India from 1987 to 2024, with projections up until 2030. In 2024, GDP in India was at around 3.91 trillion U.S. dollars, and it is expected to reach six trillion by the end of the decade. See figures on India's economic growth here, and the Russian GDP for comparison. Historical development of the Indian economy In the 1950s and 1960s, the decision of the newly independent Indian government to adopt a mixed economy, adopting both elements of both capitalist and socialist systems, resulted in huge inefficiencies borne out of the culture of interventionism that was a direct result of the lackluster implementation of policy and failings within the system itself. The desire to move towards a Soviet style mass planning system failed to gain much momentum in the Indian case due to a number of hindrances, an unskilled workforce being one of many.When the government of the early 90’s saw the creation of small-scale industry in large numbers due to the removal of price controls, the economy started to bounce back, but with the collapse of the Soviet Union - India’s main trading partner - the hampering effects of socialist policy on the economy were exposed and it underwent a large-scale liberalization. By the turn of the 21st century, India was rapidly progressing towards a free-market economy. India’s development has continued and it now belongs to the BRICS group of fast developing economic powers, and the incumbent Modi administration has seen India's GDP double during its first decade in power.

The Gross Domestic Product per capita in Netherlands was last recorded at 51471.05 US dollars in 2024. The GDP per Capita in Netherlands is equivalent to 408 percent of the world's average. This dataset provides the latest reported value for - Netherlands GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Thematic area - Climate change Name of Indicator - Greenhouse gas emission DPSIR - Pressure Indicator type - B – performance indicator Definition of the indicator The indicator shows the quantities of greenhouse gas emissions into atmosphere on national level. The emissions are presented by greenhouse gas type. The indicator provides information on emissions in the following sectors: energy, industrial processes and solvents, agriculture, waste and net removals from land use, land use change and forestry (LULUCF). Annual aggregated GHG per capita, per km2 and per unit of GDP. Units - Mt/year CO2 equivalent Policy relevance of the indicator: The Republic of Moldova is a non-Annex I Party to the United Nations Framework Convention on Climate Change (ratified in 1995). In 2003 Moldova ratified the Kyoto Protocol. Government of the of the Republic of Moldova adopted Environment Strategy for the period 2014-2023 (Government Decision #301 from 24.04.2014) and Strategy on adaptation to climate change till 2020 and it’s Action Plan (Government Decision #1009 from 10.12.2014). Targets: According to Copenhagen Agreement, Republic of Moldova aims to reduce, to not less than 25% compared to the base year (1990), the total national level of greenhouse gas emissions by 2020, by implementing economic mechanisms focused on global climate change mitigation, in accordance with the principles and provisions of the United Nations Framework Convention on Climate Change. The Environmental Protection Strategy for the years 2014-2023 and the Action Plan for its implementation states that a 20 % GHG emissions reduction compared to the base line scenario has to be reached in the Republic of Moldova by 2020. Republic of Moldova’s iNDC states to reduce unconditional, by 2030, total emissions of national greenhouse gas emissions net, with no less than 67% compared to 1990, in support of the global effort on the trend of increasing global average temperature by 2100 in limit of up to 2 ° C. The objective of reducing emissions could increase up to 78% conditionally - according to an overall agreement that would address important issues such as financial resources with low costs, technology transfer and technical cooperation. Key question - What is the average trend of GHG emissions for the whole period? Specific question - What are the emission changes by sectors, by GHG, per capita, per km2, per unit of GDP? Assessment The base year for Republic of Moldova is 1990. The inventory data presents that for base year the total emissions of GHG in CO2 equivalent are 43,42 without net removals from LULUCF sector and 37,53 aggregated emissions including emissions/removals from LULUCF. For 1991-2013 (the last Inventory data) the net GHG emissions without/with removals decrease respectively from 43,42/37,53 Mt/year CO2 equivalent to 12,84/12,74 Mt/year CO2 equivalent compared with base year. This constitutes a reducing of GHG emissions with 30% and respectively 33% comparing with base year. Figure 1 presents the trend of the aggregated emissions (without and with LULUCF sector). Table 1 presents the aggregated emissions (without and with LULUCF sector), the main GHG emissions and the share of the total emissions compare with the base year. The analysis of the inventory presents that for the base year the big share of GHG type has CO2 emission (81%), followed by CH4 emissions (11%) and N2O emissions (7%). The trend is the same for the next years. So, in 2013 the share of CO2 emissions continue to be the highest (65%), CH4 emissions are the second with 21% and the third one are N2O emissions with 13% share from total emissions. The difference between 1990 and 2013 is the share from total emissions between these GHG. During 1990-2010 the share of CO2 emissions decreases, while the share of CH4 and NO2 increase. Nevertheless, during 1990-2013 the emissions of GHG decrease: CO2 emissions with 23,6%, CH4 with 55,3% and N2O with 52,1% (see Figure 2). Halocarbons emissions (HFCs, PFCs) and sulphur hexafluoride (SF6) emissions have been registered in the Republic of Moldova starting with 1995. This year is considered as a reference year for F-gases (HFCs, PFCs and SF6). Evolution of these emissions denotes a steady trend towards increase in the last years, though their share in the total national emissions structure is insignificant. The observed sectors in inventory are energy sector, industrial process, solvent and other product use, agriculture, land use, land use change, forestry and waste. The total GHG emissions by sectors are presented in Table 2 and the trend is presented in Figure 3. In general, Energy Sector has the greatest contribution to national GHG emissions, with an average share of 70% in 1990 and 65% in 2013 (see Figure 4 and Figure 5). Agriculture Sector was the second sector contributor with an average share of 10%, followed by Industrial Processes with average share of 4% for 1990. The trend of the share of different sectors for 2013 has changed and Industrial Processes has been replaced by Waste Sector with a share of 12% from the total emissions. Figure 6 shows that starting with 1992 till 2004 there was a reduction of total GHG emissions from the Waste Sector. This trend is explained by the economic decline that occurred in the Republic of Moldova during the period under review, by a significant drop in the wellbeing of population, and respectively, capacity to generate solid and other types of wastes. At the same time, starting with 2005, there has been a clear growing trend of direct GHG emissions from the Waste Sector. The main indicator for the assessment of the GHG emissions in the international aspects are GHG per capita. The emission of GHG per capita decrease from 9,95 tons CO2 equivalent in 1990 to 3,16 tons CO2 equivalent in 2013. The lower level was during 2007 – 2.18 tons CO2 equivalent per capita (see Figure 7). For comparison the average European level of this indicator is 9.4 tons CO2 equivalent per capita in 2013. The emission of the GHG are directly linked with economic growth of the country, because with increasing of economic activity the consumption of energy and resources increase to. For the period 1990 to 2013 aggregated GHG emissions per unit of GDP decrease from 4.39 tons CO2 equivalent to 1.91 tons CO2 equivalent. Between 1990 to 2007 emissions of GDP in the most European countries decrease for more than 30%. The trend in the aggregated GHG emissions per km2 is the same as the trends of GHG emission per capita and per GDP (see Figure 7). Key messages: For the period 1990 to 2013: • the total emission throughout the inventory have decrease with 30%. • the emissions of the GHG per capita decrease with 32%. • the energy sector has the greatest contribution to national GHG emissions. Trend - positive. Data coverage - 1990-2013 Data source - Republic of Moldova’s Third National Communication to United Nation Framework Convention on Climate Change (UNFCCC), Ministry of Environment. Methodology To calculate GHG emissions as well as GHG inventories, the methodology provided by UNFCCC/IPCC is used. Methodology is based on the calculation of GHGs as a product from the rate of activity for individual sectors and emission factors. The national inventory is structured to match the reporting requirement of the UNFCCC and is divided into six main sectors: (1) Energy, (2) Industrial Processes, (3) Solvents and Other Products Use, (4) Agriculture, (5) Land Use, Land-Use Change and Forestry and (6) Waste. Emissions of direct (CO2, CH4, N2O, HFCs, PFCs and SF6) and indirect (NOx, CO, NMVOC, SO2) greenhouse gases were estimated based on methodologies contained in the Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories. Reporting obligations - UNFCCC

The Gross Domestic Product (GDP) in Argentina contracted 0.10 percent in the second quarter of 2025 over the previous quarter. This dataset provides - Argentina GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Increase the total gross value of university research income to 20% above South Australia's per capita share by 2014 and maintain thereafter.

Over the past decade, Albania has been undergoing a transition toward a market economy and a more open society. It has faced severe internal and external challenges, such as lack of basic infrastructure, rapid collapse of output and inflation rise after the collapse of the communist regime, turmoil during the 1997 pyramid crisis, and social and economic instability because of the 1999 Kosovo crisis. Despite these shocks, Albanian economy has recovered from a very low income level through a sustained growth during the past few years, even though it remains one of the poorest countries in Europe, with GDP per capita at around 1,300$. Based on the Living Standard Measurement Study (LSMS) 2002 survey data (wave 1, henceforth), for the first time in Albania INSTAT has computed an absolute poverty line on a nationally representative poverty survey at household level. Based on this welfare measure, one quarter (25.4 percent) of the Albanian population, or close to 790,000 individuals, were defined as poor in 2002. The distribution of poverty is also disproportionately rural, as 68 percent of the poor are in rural areas, against 32 percent in urban areas (as compared to a total urban population well over 40 percent). These estimates are quite sensitive to the choice of the poverty line, as there are a large number of households clustered around the poverty line. Income related poverty is compounded by the severe lack of access to basic infrastructure, education and health services, clean water, etc., and the ability of the Government to address these issues is complicated by high levels of internal and external migration that are not well understood. The availability of a nationally representative survey is crucial as the paucity of household-level information has been a constraining factor in the design, implementation and evaluation of economic and social programs in Albania. Two recent surveys carried out by the Albanian Institute of Statistics (INSTAT) –the 1998 Living Conditions Survey (LCS) and the 2000 Household Budget Survey (HBS)– drew attention, once again, to the need for accurately measuring household welfare according to well-accepted standards, and for monitoring these trends on a regular basis. This target is well-achieved by drawing information over time on a panel component of LSMS 2002 households, namely the Albanian Panel Survey (APS), conducted in 2003 and 2004. An increasing attention to the policies aimed at achieving the Millennium Development Goals (MDGs) is paid by the National Parliament of Albania, recently witnessed by the resolution approved in July 2003, where it pushes “[...] the total commitment of both state structures and civil society to achieve the MDGs in Albania by 2015”. The path towards a sustained growth is constantly monitored through the National Reports on Progress toward Achieving the MDGs, which involves a close collaboration of the UN with the national institutions, led by the National Strategy for Social and Economic Development (NSSED) Department of the Ministry of Finance. Also, in the process leading to the Poverty Reduction Strategy Paper (PRSP; also known in Albania as Growth and Poverty Reduction Strategy, GPRS), the Government of Albania reinforced its commitment to strengthening its own capacity to collect and analyze on a regular basis information it needs to inform policy-makers. In its first phase (2001-2006), this monitoring system will include the following data collection instruments: (i) Population and Housing Census; (ii) Living Standards Measurement Surveys every 3 years, and (iii) annual panel surveys. The focus during this first phase of the monitoring system is on a periodic LSMS (in 2002 and 2005), followed by panel surveys on a sub-sample of LSMS households (APS 2003, 2004 and 2006), drawing heavily on the 2001 census information. Here our target is to illustrate the main characteristics of the APS 2004 data with reference to the LSMS. The survey work was undertaken by the Living Standards Unit of INSTAT, with the technical assistance of the World Bank.

This feature layer represents Sustainable Development Goal indicator 10.1.1 'Growth Rates of Household Expenditure or Income per Capita Among the Bottom 40 per cent of the Population and the Total Population' for Ireland in 2016. The layer was created using data from the Survey on Income and Living Conditions (SILC) produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann. The data set includes percentage growth rates of household expenditure or income per capita from 2007 to 2016. Please note SILC data calculations have been performed using Equivalised Net Disposable income which is the closest measure to disposable income per capita available. An Equivalised income is a weighted income based on the household composition. The weight is created by giving the First Adult is the Household a weight of 1, any Second and Subsequent adults a weight of 0.66 and any child a weight of 0.33 e.g. Annual Total household income is €30,000 in a household with 2 adults and 1 child (Weight = 1.99). Annual Equivalised total income = €30,000/1.99 = €15,075.Note that the NUTS 3 boundary refers to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003). These boundaries were subsequently revised in 2016 through Commission Regulation (EU) 2016/2066 amending annexes to Regulation 1059/2003 (more info).

In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 10 which aims to reduce inequality within and among countries.

The Gross Domestic Product per capita in Norway was last recorded at 79670.14 US dollars in 2024. The GDP per Capita in Norway is equivalent to 631 percent of the world's average. This dataset provides the latest reported value for - Norway GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita in Philippines was last recorded at 3925.30 US dollars in 2024. The GDP per Capita in Philippines is equivalent to 31 percent of the world's average. This dataset provides - Philippines GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in Malaysia was last recorded at 11868.36 US dollars in 2024. The GDP per Capita in Malaysia is equivalent to 94 percent of the world's average. This dataset provides the latest reported value for - Malaysia GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita in Uganda was last recorded at 986.84 US dollars in 2024. The GDP per Capita in Uganda is equivalent to 8 percent of the world's average. This dataset provides - Uganda GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.