Graph and download economic data for Gross Domestic Product: Implicit Price Deflator (GDPDEF) from Q1 1947 to Q1 2025 about implicit price deflator, headline figure, inflation, GDP, and USA.

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.

Pakistan inflation rate for 2023 was 30.77%, a 10.89% increase from 2022.

<ul style='margin-top:20px;'>

<li>Pakistan inflation rate for 2022 was <strong>19.87%</strong>, a <strong>10.38% increase</strong> from 2021.</li>
<li>Pakistan inflation rate for 2021 was <strong>9.50%</strong>, a <strong>0.24% decline</strong> from 2020.</li>
<li>Pakistan inflation rate for 2020 was <strong>9.74%</strong>, a <strong>0.84% decline</strong> from 2019.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

India inflation rate for 2023 was 5.65%, a 1.05% decline from 2022.

<ul style='margin-top:20px;'>

<li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
<li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
<li>India inflation rate for 2020 was <strong>6.62%</strong>, a <strong>2.89% increase</strong> from 2019.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

Japan inflation rate for 2023 was 3.27%, a 0.77% increase from 2022.

<ul style='margin-top:20px;'>

<li>Japan inflation rate for 2022 was <strong>2.50%</strong>, a <strong>2.73% increase</strong> from 2021.</li>
<li>Japan inflation rate for 2021 was <strong>-0.23%</strong>, a <strong>0.21% decline</strong> from 2020.</li>
<li>Japan inflation rate for 2020 was <strong>-0.03%</strong>, a <strong>0.49% decline</strong> from 2019.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

All data are expressed as a percentage, except for GDP per capita, net wages, total population, life expectancy, expected years of education, average years of schooling, life and non-life premium, total premium, bank deposits, financial assets and deposits of insurance companies, which are expressed in absolute terms.

Source of data:

Data on Life and Non-life premium, Total (gross) premium, Premium reserve data, Financial assets and Deposits of insurance companies are collected from the official reports of insurance supervision agencies: Insurance Supervision Agency in Montenegro (http://www.ano.me/en/), Croatian Financial Services Supervisory Agency (https://www.hanfa.hr/en/), National Bank of Serbia (https://www.nbs.rs/internet/english/, Insurance Supervision Agency of North Macedonia (http://aso.mk/en/?lang=en) and Financial Supervisory Authority in Albania (https://amf.gov.al/).

The economic indicators for the observed Western Balkan countries (GDP per capita, unemployment rate, inflation rate, net earnings and average effective deposit interest rate) are taken from the website Eurostat (https://ec.europa.eu/eurostat) and Statista (https://www.statista.com/)

All demographic indicators, except for the expected and average years of schooling and education index, were collected from the Eurostat and UNDP database (https://ec.europa.eu/eurostat/data/database; http://hdr.undp.org/en/countries/profiles/ ).

Data on expected and average school years were taken from the UNESCO Institute for Statistics (http://uis.unesco.org) , while the education index was obtained as a result of a calculation based on a formula published on the UNDP website (http://hdr.undp.org/en/content/education-index).

Data on bond yield were collected from the website of European Commission (https://ec.europa.eu/), i.e. from EC reports - EU Candidate Countries’ & Potential Candidates’ Economic Quarterly (CCEQ), except two data for Serbia (2006 and 2007) which were estimated by Makima extrapolation.

Bank deposits data are taken from the official reports of banks' regulatory institutions: Central bank of Montenegro (https://www.cbcg.me/en), National bank of Serbia (https://www.nbs.rs/en/indeks/), Croatian National bank (https://www.hnb.hr/en/home), National bank of the Republic of North Macedonia (https://www.nbrm.mk/pocetna-en.nspx); Bank of Albania (https://www.bankofalbania.org/home/)

Description of columns:

f1-GDPper capita; f2- Unemployment (%); f3-Inflation rate (%); f4- Net Wages €; f5- Deposit rate (%); f6- Population; f7- Female (%); f8- Population <15 (%); f9- Population 15-64 (%); f10- Dep old (%); f11- Dep young (%); f12- Urban population (%); f13-Life exp. (years); f14- Preschool enroll rate (%); f15- Elem school enroll rate (%); f16-High school enroll rate (%); f17- University enroll rate (%); f18- Expected years of schooling; f19- Avg. years of schooling; f20- Education Index (%); f21- Fertility rate (number of children to a woman); f22- Birth rate (per 1000 inhabitants); f23- Health costs (% GDP); f24-premium reserve per GDP,

i1- life premium €; i2- non-life premium €; i3- total premium €; i4- bond yield (%); i5a- bank deposits ( national currency); i5b- bank deposits €; i6a-financial assets in insurance (national currency); i6b- financial assets in insurance €; i7a- deposits of insurers (national currency); i7b –deposit of insurers €

Abstract

SUSENAS (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, SUSENAS was conducted every year. SUSENAS was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of SUSENAS shall be conducted in year 2011.

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and SUSENAS has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of SUSENAS and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data SUSENAS 2011 activities and trial of integrating SUSENAS and SBH must be in accordance with the set schedule.

Activities of SUSENAS 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Sampling procedure

Sampling method is the structured three phase sampling with the following method:

a. First phase, selection of nh census area from Nh with pps (Probability Proportional to Size)with sizeas the total households of SP2010 (M i ).The census area is then randomly allocated into four quarters. Total sampling will be nh= 30,000 census areas thus there will be 7,500 census areas for each quarter. From 7,500 census areas of the First Quarter of the National Socio-Economic Survey (Susenas), some 5,000 census areas are systemically selected for the First Quarter of the 2011 National Labor Force Survey (Sakernas) and will be used again for the second, third and fourth quarter

b. Second phase, to select: - two BS from each selected census area of the second and third quarter of Susenas, and the first quarter which is also selected for the first quarter of Sakernas, which then from the selected census blocks, is randomly allocated one for Susenas/SBH, and one [for] Sakernas, or - one BS from each selected census area of the fourth quarter and first quarter only for Susenas with pps with a household size of SP2010-RBL1.

c. Third phase, from each selected census block for Susenas, a number of regular households are systemically selected (m=10) based on the updated SP2010-C1 household listing by using the VSEN11-P List. Names of household head (KRT) are extracted from SP2010-C1 for name, address and education level variables, followed by field updates.

Mode of data collection

Face-to-face

In 2023, just over 55.36 percent of Nepal’s gross domestic product (GDP) came from its service sector. Agriculture contributed the second largest amount, while eleven percent came from the industry sector. The majority of the Nepalese population lives in rural areas, and are depended on agriculture for their livelihood. A struggling but strong population Around 63 percent of Nepal’s 29.6 million inhabitants are part of the workforce, i.e. between 15 to 64 years old. Though the country has a very low unemployment rate (probably due to the fact that agricultural occupations are usually not taken into account when calculating national unemployment) , it is considered a country weighed down by high poverty, with a consistent trade deficit and a volatile inflation rate. However, recent perceptions of children’s living standards when they grow up in Nepal are overwhelmingly of the opinion that the standard of living is better. The Nepalese economy Nepal has robust ties with the country of India, which is both the country’s main export partner, as well as its main import partner . Nepal’s economy has been under the influence of political instability over the course of the country’s history: a monarchy until the early 2000s, it then became a republic with a Maoist-dominated government. Lately, Nepal made several attempts to improve its economic situation, but still relies heavily on remittances and foreign aid.