United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Slovakia.

China Home Daily Use Good: Tmall Online Sales: YoY: Market Share data was reported at -1.250 % in Aug 2020. This records a decrease from the previous number of -1.120 % for Jul 2020. China Home Daily Use Good: Tmall Online Sales: YoY: Market Share data is updated monthly, averaging 23.810 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 77.780 % in Mar 2020 and a record low of -22.770 % in Dec 2019. China Home Daily Use Good: Tmall Online Sales: YoY: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: YoY: Others.

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

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Accommodation and Food Services (72) in the Great Lakes BEA Region (GLAKACCOMDQQGSP) from Q1 2005 to Q1 2025 about Great Lakes BEA Region, arts, entertainment, accommodation, recreation, quantity index, GSP, private industries, food, services, private, industry, GDP, and USA.

China Other Sports: YoY: Total Asset data was reported at 10.690 % in Oct 2015. This records a decrease from the previous number of 13.144 % for Sep 2015. China Other Sports: YoY: Total Asset data is updated monthly, averaging 13.871 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 37.740 % in Apr 2006 and a record low of 4.342 % in Feb 2014. China Other Sports: YoY: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIH: Sporting Good: Other Sports.

Graph and download economic data for Household Debt Service Payments as a Percent of Disposable Personal Income (TDSP) from Q1 1980 to Q1 2025 about disposable, payments, personal income, debt, percent, households, personal, income, services, and USA.

China Other Sports: Profit to Cost Ratio data was reported at 6.046 % in Oct 2015. This records an increase from the previous number of 5.909 % for Sep 2015. China Other Sports: Profit to Cost Ratio data is updated monthly, averaging 4.192 % from Dec 2006 (Median) to Oct 2015, with 83 observations. The data reached an all-time high of 6.325 % in Aug 2007 and a record low of 3.193 % in Apr 2013. China Other Sports: Profit to Cost Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIH: Sporting Good: Other Sports.

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?

Netherlands NL: Business-Financed GERD: % of GDP data was reported at 1.282 % in 2021. This records a decrease from the previous number of 1.321 % for 2020. Netherlands NL: Business-Financed GERD: % of GDP data is updated yearly, averaging 0.894 % from Dec 1981 (Median) to 2021, with 35 observations. The data reached an all-time high of 1.321 % in 2020 and a record low of 0.751 % in 1981. Netherlands NL: Business-Financed GERD: % of GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

United States GDPS: 2017p: IL: Pvt: PB: Management of Companies & Enterprises data was reported at 18.419 USD bn in Dec 2024. This records an increase from the previous number of 18.395 USD bn for Sep 2024. United States GDPS: 2017p: IL: Pvt: PB: Management of Companies & Enterprises data is updated quarterly, averaging 16.384 USD bn from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 18.685 USD bn in Dec 2021 and a record low of 13.933 USD bn in Jun 2009. United States GDPS: 2017p: IL: Pvt: PB: Management of Companies & Enterprises data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A073: NIPA 2023: GDP by State: Great Lakes Region: Chain Linked 2017 Price: saar.

IN: WR: VS: Other: Business: ILEC data was reported at 64.000 Number th in Dec 2017. This records an increase from the previous number of 55.000 Number th for Jun 2017. IN: WR: VS: Other: Business: ILEC data is updated semiannually, averaging 40.000 Number th from Jun 2014 (Median) to Dec 2017, with 8 observations. The data reached an all-time high of 64.000 Number th in Dec 2017 and a record low of 14.000 Number th in Jun 2014. IN: WR: VS: Other: Business: ILEC data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB003: Number of Mobile Voice Subscriptions: By State: Great Lakes Region.

Canada Consumer Confidence Score: Future Local Economy: Positive Response data was reported at 16.211 Score in Jan 2023. This records a decrease from the previous number of 18.221 Score for Dec 2022. Canada Consumer Confidence Score: Future Local Economy: Positive Response data is updated monthly, averaging 18.400 Score from Mar 2010 (Median) to Jan 2023, with 155 observations. The data reached an all-time high of 41.075 Score in Jun 2021 and a record low of 11.193 Score in Jan 2020. Canada Consumer Confidence Score: Future Local Economy: Positive Response data remains active status in CEIC and is reported by Ipsos Group S.A.. The data is categorized under Global Database’s Canada – Table CA.IPSOS: Consumer Confidence Survey.

Key information about Israel Business Confidence Growth

• Israel Business Confidence grew 13.2 % in Feb 2025, compared with an increase of 17.3 % YoY in the previous month.
• Israel Business Confidence: YoY Change is updated monthly, available from Jan 2016 to Feb 2025, with an averaged rate of 2.3 %.
• The data reached an all-high of 26.8 % in May 2021 and a record low of -22.9 % in Apr 2020.

United States GDPS: 2012p: saar: IL: Pvt: Prof, Scientific & Tech Services data was reported at 65.975 USD bn in Jun 2018. This records an increase from the previous number of 64.491 USD bn for Mar 2018. United States GDPS: 2012p: saar: IL: Pvt: Prof, Scientific & Tech Services data is updated quarterly, averaging 56.630 USD bn from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 65.975 USD bn in Jun 2018 and a record low of 50.591 USD bn in Sep 2005. United States GDPS: 2012p: saar: IL: Pvt: Prof, Scientific & Tech Services data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A113: NIPA 2018: GDP by State: Great Lakes Region: Chain Linked 2012 Price: saar.

United States OH: WR: Business: Total: ILEC data was reported at 821.000 Number th in Dec 2017. This records a decrease from the previous number of 871.000 Number th for Jun 2017. United States OH: WR: Business: Total: ILEC data is updated semiannually, averaging 1,181.000 Number th from Dec 2008 (Median) to Dec 2017, with 19 observations. The data reached an all-time high of 1,563.000 Number th in Dec 2008 and a record low of 821.000 Number th in Dec 2017. United States OH: WR: Business: Total: ILEC data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB003: Number of Mobile Voice Subscriptions: By State: Great Lakes Region.

China Plastic Wire, Rope & Woven Good: YoY: Sales Tax and Surcharge: Year to Date data was reported at 5.773 % in Oct 2015. This records a decrease from the previous number of 8.543 % for Sep 2015. China Plastic Wire, Rope & Woven Good: YoY: Sales Tax and Surcharge: Year to Date data is updated monthly, averaging 19.430 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 88.610 % in Apr 2006 and a record low of 0.770 % in Jul 2012. China Plastic Wire, Rope & Woven Good: YoY: Sales Tax and Surcharge: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BII: Plastic Product: Plastic Wire, Rope and Woven Good.

France FR: Business Enterprise Researchers: Per Thousand Employment in Industry data was reported at 10.206 Per 1000 in 2021. This records an increase from the previous number of 10.156 Per 1000 for 2020. France FR: Business Enterprise Researchers: Per Thousand Employment in Industry data is updated yearly, averaging 4.928 Per 1000 from Dec 1981 (Median) to 2021, with 41 observations. The data reached an all-time high of 10.206 Per 1000 in 2021 and a record low of 2.088 Per 1000 in 1981. France FR: Business Enterprise Researchers: Per Thousand Employment in Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

China Plastic Wire, Rope & Woven Good: Industrial Sales Value: Delivery Value for Export: Year to Date data was reported at 10.865 RMB bn in Dec 2013. This records an increase from the previous number of 9.025 RMB bn for Dec 2012. China Plastic Wire, Rope & Woven Good: Industrial Sales Value: Delivery Value for Export: Year to Date data is updated monthly, averaging 4.388 RMB bn from Dec 2001 (Median) to Dec 2013, with 43 observations. The data reached an all-time high of 10.865 RMB bn in Dec 2013 and a record low of 0.414 RMB bn in Jan 2009. China Plastic Wire, Rope & Woven Good: Industrial Sales Value: Delivery Value for Export: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BII: Plastic Product: Plastic Wire, Rope and Woven Good.

Exports: Mfg Good: Iron and Steel: USA data was reported at 203.989 USD mn in Jun 2018. This records an increase from the previous number of 188.169 USD mn for May 2018. Exports: Mfg Good: Iron and Steel: USA data is updated monthly, averaging 103.506 USD mn from Jan 1991 (Median) to Jun 2018, with 330 observations. The data reached an all-time high of 558.199 USD mn in Nov 2014 and a record low of 25.164 USD mn in Aug 1993. Exports: Mfg Good: Iron and Steel: USA data remains active status in CEIC and is reported by Korea International Trade Association. The data is categorized under Global Database’s Korea – Table KR.JA007: Trade Statistics: Export: Value: SITC Classification: USA and Japan.