The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

Generation, Evaluation, and Metrics (GEM) is a benchmark environment for Natural Language Generation with a focus on its Evaluation, both through human annotations and automated Metrics.

GEM aims to:

measure NLG progress across 13 datasets spanning many NLG tasks and languages. provide an in-depth analysis of data and models presented via data statements and challenge sets. develop standards for evaluation of generated text using both automated and human metrics.

It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development by extending existing data or developing datasets for additional languages.

The Global Entrepreneurship Monitor (GEM) was designed to capture various aspects of firm creation and entrepreneurship across countries. The data have been collected over a number of years (1998-2003) and include responses from 4,685 experts in over 38 countries and three subnational regions. This study seeks to measure the national attributes considered critical for new firm births and small firm growth. The dataset is a harmonized file capturing the results from all of the surveys. The expert, or key informant, questionnaire was improved and adjusted each year to increase the reliability of multi-item indices and provide for the addition of new dimensions. For each version of the questionnaire, respondents completed 70-80 standardized items that were the basis for 12-15 multi-item indices. Respondents were initially asked a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, and whether they thought it was a good time to do so. Respondents were also asked about the process of starting up a new business; whether they had done anything to start a new business in the past 12 months; whether they would own all, part, or none of the new business; how many people would be involved with the new business; what sort of business they were starting; and what they would sell. In addition, respondents identified the total start-up costs, the various sources of the start-up money, and why they were involved in the start-up. Respondents then answered a set of questions to assess the national conditions influencing entrepreneurial activity in their own country. In this respect, respondents provided their opinions on business and entrepreneurial education, the integration of new technology in businesses, the availability of financial support through government policies and programs, the availability of subcontractors, yearly changes in the economic market, and the physical infrastructure in their country. Views were also elicited from respondents about their national cultures in regard to entrepreneurial efforts and opportunities, attitudes towards entrepreneurs in general, women entrepreneurs and the resources available to them, and citizens' knowledge and experience with new businesses. They also gave their views on the Intellectual Property Rights (IPR) legislation and its enforcement in their respective countries. Respondents were then queried on the technological strengths of their country by ranking the top five sectors in which there has been development of the greatest number of technology-intensive start-up companies in the past ten years. Finally, respondents were asked the same general questions as those used in the GLOBAL ENTREPRENEURSHIP MONITOR (GEM): ADULT POPULATION SURVEY DATA SET, 1998-2003 (ICPSR 20320) in order to ascertain whether the opinions and behaviors of the current "expert" respondents differ from those of the general population. These questions included whether they were starting a new business, if there were opportunities for new businesses, funding sources for a new business, skills required to start a new business, shutting down a business, and whether a fear of failure was preventing the start of a new business. The dataset also contains variables that describe the respondent's gender, age, educational attainment, labor force status, the entrepreneurial areas in which they feel they have strong expertise, and the month and year the survey was conducted.

GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation, both through human annotations and automated Metrics.

GEM aims to: (1) measure NLG progress across 13 datasets spanning many NLG tasks and languages. (2) provide an in-depth analysis of data and models presented via data statements and challenge sets. (3) develop standards for evaluation of generated text using both automated and human metrics.

More information can be found at https://gem-benchmark.com.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('gem', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

About this dataset

Context

The dataset tabulates the Gem population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gem. The dataset can be utilized to understand the population distribution of Gem by age. For example, using this dataset, we can identify the largest age group in Gem.

Key observations

The largest age group in Gem, KS was for the group of age 50 to 54 years years with a population of 18 (14.40%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Gem, KS was the 75 to 79 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Gem is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Gem 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 Gem Population by Age. You can refer the same here

United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data was reported at 8.193 USD bn in 2017. This records a decrease from the previous number of 8.623 USD bn for 2016. United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data is updated yearly, averaging 3.687 USD bn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 8.623 USD bn in 2016 and a record low of 1.922 USD bn in 2001. United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA091: Trade Statistics: India: Imports: Customs: End Use.

Data-Gem/agents-course-unit3-invitees-expanded dataset hosted on Hugging Face and contributed by the HF Datasets community

Percentage of 18-64 population who agree with the statement that in their country, most people consider starting a business as a desirable career choice. Please refer to: https://www.gemconsortium.org/wiki/1599

Hong Kong GEM: Number of Listed Companies data was reported at 383.000 Unit in Sep 2018. This records an increase from the previous number of 379.000 Unit for Aug 2018. Hong Kong GEM: Number of Listed Companies data is updated monthly, averaging 189.000 Unit from Nov 1999 (Median) to Sep 2018, with 227 observations. The data reached an all-time high of 383.000 Unit in Sep 2018 and a record low of 3.000 Unit in Nov 1999. Hong Kong GEM: Number of Listed Companies data remains active status in CEIC and is reported by Growth Enterprise Market. The data is categorized under Global Database’s Hong Kong – Table HK.Z009: Growth Enterprise Market (GEM) Statistics.

871 Global import shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

609 Global export shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Data comes from Kirsty Langley at the Asiaq-Greenland Survey, Nuuk, Greenland, is collected as part of the Greenland Ecosystem Monitoring Programme (GEM) project. The data is available from the GEM website ( https://data.g-e-m.dk/ ) but here is collected into one CSV file and includes additional metadata, such as the station location.

This dataset provides information about the number of properties, residents, and average property values for Gem Court cross streets in New City, NY.

27 Global import shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The extent to which social and cultural norms encourage or allow actions leading to new business methods or activities that can potentially increase personal wealth and income. Please refer to: https://www.gemconsortium.org/wiki/1599

About this dataset

Context

The dataset tabulates the population of Gem by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Gem. The dataset can be utilized to understand the population distribution of Gem by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Gem. 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 Gem.

Key observations

Largest age group (population): Male # 5-9 years (9) | Female # 50-54 years (14). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Gem population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Gem is shown in the following column.
• Population (Female): The female population in the Gem 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 Gem 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 Gem Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Gem population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Gem. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 82 (65.60% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Gem population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Gem is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Gem is shown in the following column.

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 Gem Population by Age. You can refer the same here

Imports of Oth. Gem Stones in the United States decreased to 325.84 USD Million in February from 470.41 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Oth. Gem Stones.

This dataset provides information about the number of properties, residents, and average property values for Gem Court cross streets in Damascus, OR.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.