U.S. economic growth for 2018 was $20,891, a 1.13% increase from 2018.

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

<li>U.S. economic growth for 2018 was <strong>$20,658</strong>, a <strong>1.21% increase</strong> from 2018.</li>
<li>U.S. economic growth for 2018 was <strong>$20,412</strong>, a <strong>1.85% increase</strong> from 2018.</li>
<li>U.S. economic growth for 2018 was <strong>$20,041</strong>, a <strong>1.05% increase</strong> from 2017.</li>
</ul>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.

Kazakhstan economic growth for 2023 was 262.64 billion US dollars, a 16.47% increase from 2022.

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

<li>Kazakhstan economic growth for 2022 was <strong>225.50 billion US dollars</strong>, a <strong>14.4% increase</strong> from 2021.</li>
<li>Kazakhstan economic growth for 2021 was <strong>197.11 billion US dollars</strong>, a <strong>15.21% increase</strong> from 2020.</li>
<li>Kazakhstan economic growth for 2020 was <strong>171.08 billion US dollars</strong>, a <strong>5.83% decline</strong> from 2019.</li>
</ul>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.

About this dataset

Context

The dataset tabulates the population of Economy by race. It includes the population of Economy across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Economy across relevant racial categories.

Key observations

The percent distribution of Economy population by race (across all racial categories recognized by the U.S. Census Bureau): 97.60% are white and 2.40% are multiracial.

https://i.neilsberg.com/ch/economy-in-population-by-race.jpeg" alt="Economy population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Economy
• Population: The population of the racial category (excluding ethnicity) in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Economy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Race & Ethnicity. You can refer the same here

Economics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes 23 industries in six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross...

Uruguay economic growth for 2023 was 77.24 billion US dollars, a 10.09% increase from 2022.

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

<li>Uruguay economic growth for 2022 was <strong>70.16 billion US dollars</strong>, a <strong>15.48% increase</strong> from 2021.</li>
<li>Uruguay economic growth for 2021 was <strong>60.76 billion US dollars</strong>, a <strong>13.21% increase</strong> from 2020.</li>
<li>Uruguay economic growth for 2020 was <strong>53.67 billion US dollars</strong>, a <strong>13.75% decline</strong> from 2019.</li>
</ul>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.

About this dataset

Context

The dataset tabulates the Economy population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Economy across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Economy was 8,962, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Economy population was 8,978, a decline of 0.74% compared to a population of 9,045 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Economy decreased by 452. In this period, the peak population was 9,414 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Economy is shown in this column.
• Year on Year Change: This column displays the change in Economy population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Year. You can refer the same here

Netherlands economic growth for 2018 was $989.54, a 0.89% increase from 2018.

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

<li>Netherlands economic growth for 2018 was <strong>$980.82</strong>, a <strong>0.38% increase</strong> from 2018.</li>
<li>Netherlands economic growth for 2018 was <strong>$977.12</strong>, a <strong>1.44% increase</strong> from 2018.</li>
<li>Netherlands economic growth for 2018 was <strong>$963.27</strong>, a <strong>0.78% increase</strong> from 2017.</li>
</ul>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.

Historical chart and dataset showing Brazil economic growth by year from 1960 to 2023.

Key information about Russia Real GDP Growth

• The Gross Domestic Product (GDP) in Russia contracted 2.6 % YoY in Mar 2023, following a negative growth of 3.2 % in the previous quarter.
• Real GDP Growth YoY data in Russia is updated quarterly, available from Mar 1996 to Mar 2023, with an average rate of 2.7 %.
• The data reached an all-time high of 12.3 % in Dec 1999 and a record low of -9.4 % in Jun 2009.

CEIC calculates quarterly Real GDP Growth from quarterly Real GDP. The Federal State Statistics Service provides Real GDP in local currency at 2021 prices, based on SNA 2008. Real GDP Growth prior to Q1 2012 is calculated from Real GDP at 2008 prices and prior to Q1 2004 from Real GDP at 2003 prices, both based on SNA 1993.


Related information about Russia Real GDP Growth

• In the latest reports, Nominal GDP of Russia reached 494.7 USD bn in Mar 2023.
• Its GDP deflator (implicit price deflator) increased 0.7 % in Mar 2023.
• GDP Per Capita in Russia reached 15,074.8 USD in Dec 2022.
• Its Gross Savings Rate was measured at 35.2 % in Dec 2022.
• For Nominal GDP contributions, Investment accounted for 28.9 % in Dec 2022.
• Public Consumption accounted for 17.5 % in Dec 2022.
• Private Consumption accounted for 47.3 % in Dec 2022.

Thailand economic growth for 2023 was 514.97 billion US dollars, a 3.9% increase from 2022.

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

<li>Thailand economic growth for 2022 was <strong>495.65 billion US dollars</strong>, a <strong>2.1% decline</strong> from 2021.</li>
<li>Thailand economic growth for 2021 was <strong>506.26 billion US dollars</strong>, a <strong>1.16% increase</strong> from 2020.</li>
<li>Thailand economic growth for 2020 was <strong>500.46 billion US dollars</strong>, a <strong>8% decline</strong> from 2019.</li>
</ul>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.

The economy of the United Kingdom shrank by 0.3 percent in April 2025, after growing by 0.2 percent in March 2025. As of the most recent month, the UK economy is around 4.2 percent larger than it was in February 2020, just before the start of COVID-19 lockdowns. After a record 19.6 percent decline in GDP in April 2020, the UK economy quickly returned to growth in the following months, and grew through most of 2021. Cost of living crisis lingers into 2025 As of December 2024, just over half of people in the UK reported that their cost of living was higher than it was in the previous month. Although this is a decline from the peak of the crisis in 2022 when over 90 percent of people reported a higher cost of living, households are evidently still under severe pressure. While wage growth has outpaced inflation since July 2023, overall consumer prices were 20 percent higher in late 2024 than they were in late 2021. For food and energy, which lower income households spend more on, late 2024 prices were almost 30 percent higher when compared with late 2021. According to recent estimates, living standards, as measured by changes in disposable income fell by 2.1 percent in 2022/23, but did start to grow again in 2023/24. Late 2023 recession followed by growth in 2024 In December 2023, the UK economy was approximately the same size as it was a year earlier, and struggled to achieve modest growth throughout that year. Going into 2023, a surge in energy costs, as well as high interest rates, created an unfavorable environment for UK consumers and businesses. The inflationary pressures that drove these problems did start to subside, however, with inflation falling to 3.9 percent in November 2023, down from a peak of 11.1 percent in October 2022. Although relatively strong economic growth occurred in the first half of 2024, with GDP growing by 0.7 percent, and 0.4 percent in the first two quarters of the year, zero growth was reported in the third quarter of the year. Long-term issues, such as low business investment, weak productivity growth, and regional inequality, will likely continue to hamper the economy going forward.

About this dataset

Context

The dataset tabulates the population of Economy by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Economy across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.4% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Economy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Economy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Gender. You can refer the same here

ENOW organizes economic data in ways that focus directly on economic activities that depend on the oceans and Great Lakes.

ENOW organizes economic data in ways that focus directly on economic activities that depend on the oceans and Great Lakes.

A. SUMMARY San Francisco offers numerous events and activities tailored for children, youth, and families. However, finding and navigating the disparate sources of information can be a major challenge. Our415.org seeks to simplify this by consolidating all relevant details, ensuring that families can easily find what they need, when they need it. It also encourages discovery of new interests and things to do. This dataset compiles current and upcoming events and activities in San Francisco for children, youth, and their families.

B. HOW THE DATASET IS CREATED This dataset is a consolidation of multiple datasets from contributing City agencies and departments as well as Community Based Organizations. Currently, the information in the dataset is sourced from Rec Park’s activities catalog, SF Public Library’s events calendar, Department of Early Childhood’s family events calendar, and Support for Families' family events calendar. Rec Park activities include any “Open” activities appropriate for ages 0-24, and SF Public Library, Department of Early Childhood, and Support for Families events include events going into the next month.

C. UPDATE PROCESS The dataset will be updated on a daily basis, reflecting changes to the source data.

D. HOW TO USE THIS DATASET Taxonomy related fields and eligibility fields are either AI-determined or assigned through a DCYF-created crosswalk. These values are determined for the purposes of categorization and search functionality on Our415.org. Use with caution - errors may exist.

Abstract

This dataset was derived by the Bioregional Assessment Programme from the following sources

1) Southern Rural Water Surface water "works" locations (xy)

2)Regs Category 6a supplied to the Bureau by DEPI under the Water Act 2008

3) A "one off" extract" of Unregulated licences (xy locations, use, entitlement volume)

You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived

This dataset is restricted - not for publication.

Note that there are many issues with licencing data that it difficult to model the situation on the ground

1) Use is only valid at the time of the registration of licence ( the licence may be traded and may change use which may not be recorded). Use is therefore only indicative at any point in time

2) Status - Which determines whether the "works" is active may also be out of date or not updated

Users are encouraged to use other sources to validate licencing data and also encouraged to take into account other fields included such as date etc

Purpose

This dataset has been created to represent Surface Water Economic Entitlements spatially in the Gippsland Basin

Dataset History

This dataset was derived by the Bioregional Assessment Programme using the following steps

1) Unreg Surface Water Licences DELWP Gippsland 20150301 (0353426b-403d-4d4b-aac0-75afb55e1176) was geolocated using the "Make XY Event" function in ArcGIS with the projection VICGRID 94 (as indicated to use in source file)

2) This file was merged with the derived dataset: (SouthernRuralWater SW Locations with BOM RegsCat6Volumes Gippsland 20150430 59f17548-3dbe-41a8-92f2-3b39ebbb0584) using the ArcGIS Merge Command

3) The "Feature Compare" command was used to find duplicate licence numbers in both files. Project team decided to keep records from "once off" DEPI Extract as these also contained uses. 966 duplicates found in data from SRW - This is because there are sometimes many locations for one licence in the SRW data.

4) Duplicate records were removed from SRW dataset leaving only 178 licences not found in DELWP extract.

5) Remaining records were merged into final dataset

6) Classification of uses of data in DELWP extract:

Domestic and stock Basic Water Right

Domestic and Stock Basic Water Right

Aquaculture Water Access Right

Dairy Water Access Right

Industrial or commercial Water Access Right

Intensive animal husbandry Water Access Right

Irrigation Water Access Right

178 records from SRW were all classified as Water Access Right as no use was found

Volumes:

The field that should be used to allocate volumes correctly by works is "Vol_combined" - this field contains Entitlement per works for SRW data and Entitlement Vol directly from DELWP extract

Note data has been kept in source prj GDA_1994_MGA_Zone_55

Dataset Citation

Bioregional Assessment Programme (2015) Surface Water Economic Assets Gippsland 20150430v02. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/3331c840-c15a-4787-a509-2e71a37d6bfd.

Dataset Ancestors

• Derived From Southern Rural Water SW Locations with BOM Regulations Category 6 Volumes Gippsland 20150430

• Derived From Surface Water Entitlement Locations Gippsland Southern Rural Water 20141218

• Derived From Unreg surface water licences DELWP Gippsland 20150301

• Derived From Surface Water and Groundwater Entitlement Data with Volumes - DEPI Regs Cat6 Victoria 20141218

Bolivia economic growth for 2023 was 45.14 billion US dollars, a 2.56% increase from 2022.

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

<li>Bolivia economic growth for 2022 was <strong>44.01 billion US dollars</strong>, a <strong>8.91% increase</strong> from 2021.</li>
<li>Bolivia economic growth for 2021 was <strong>40.41 billion US dollars</strong>, a <strong>10.31% increase</strong> from 2020.</li>
<li>Bolivia economic growth for 2020 was <strong>36.63 billion US dollars</strong>, a <strong>10.43% decline</strong> from 2019.</li>
</ul>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.

United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data was reported at 1.111 % in Nov 2023. This records an increase from the previous number of 0.751 % for Aug 2023. United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data is updated quarterly, averaging 0.540 % from Nov 2011 (Median) to Nov 2023, with 48 observations. The data reached an all-time high of 2.531 % in Nov 2021 and a record low of 0.000 % in May 2022. United States BIE: Non-Labour Cost Effect on Price: Strong Downward Influence data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.I122: Business Inflation Expectations Survey: Price Change. Business Inflation Expectations Survey Questionnaire: Projecting ahead over the next 12 months, how do you think the following five common influences will affect the prices of your products and/or services?

This is the replication package for "China, Europe and the Great Divergence: A Study in Historical national Accounting". As a result of recent advances in historical national accounting, estimates of GDP per capita are now available for a number of European economies back to the medieval period, including Britain, the Netherlands, Italy and Spain. The approach has also been extended to Asian economies, including India and Japan. So far, however, China, which has been at the center of the Great Divergence debate, has been absent from this approach. This paper adds China to the picture and shows that the Great Divergence began earlier than originally suggested by the California School, but later than implied by older Eurocentric writers.

About this dataset

Context

The dataset tabulates the population of Economy by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Economy. The dataset can be utilized to understand the population distribution of Economy by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Economy. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Economy.

Key observations

Largest age group (population): Male # 65-69 years (412) | Female # 60-64 years (490). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Economy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Economy is shown in the following column.
• Population (Female): The female population in the Economy is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Economy for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Economy Population by Gender. You can refer the same here