Greece GR: Persistence to Last Grade of Primary: Male: % of Cohort data was reported at 91.592 % in 2013. This records an increase from the previous number of 90.202 % for 2012. Greece GR: Persistence to Last Grade of Primary: Male: % of Cohort data is updated yearly, averaging 96.377 % from Dec 1971 (Median) to 2013, with 25 observations. The data reached an all-time high of 99.785 % in 1984 and a record low of 90.202 % in 2012. Greece GR: Persistence to Last Grade of Primary: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank: Education Statistics. Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Greece GR: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data was reported at 2.426 % in 2015. This records a decrease from the previous number of 2.791 % for 2014. Greece GR: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 2.608 % from Dec 2014 (Median) to 2015, with 2 observations. The data reached an all-time high of 2.791 % in 2014 and a record low of 2.426 % in 2015. Greece GR: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.; ; UNESCO Institute for Statistics; ;

Greece GR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 2.000 % in 2024. This stayed constant from the previous number of 2.000 % for 2023. Greece GR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 1.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 2.200 % in 2001 and a record low of 1.800 % in 2015. Greece GR: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

Greece GR: Exports: fob: Local Currency data was reported at 28,839.260 EUR mn in 2017. This records an increase from the previous number of 25,359.840 EUR mn for 2016. Greece GR: Exports: fob: Local Currency data is updated yearly, averaging 2,298.453 EUR mn from Dec 1957 (Median) to 2017, with 60 observations. The data reached an all-time high of 28,839.260 EUR mn in 2017 and a record low of 17.884 EUR mn in 1960. Greece GR: Exports: fob: Local Currency data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Greece – Table GR.IMF.IFS: Trade Statistics: Annual.

Financial overview and grant giving statistics of Gr Baltimore Usbc Ba Inc

This dataset is a polygon coverage of counties limited to the extent of the Pond Creek coal bed resource areas and attributed with statistics on the thickness of the Pond Creek coal zone, its elevation, and overburden thickness, in feet. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

The Industrial Grade Anhydrous Calcium Chloride market is a vital segment in the chemical industry, characterized by its versatile applications across various sectors, including construction, food processing, and de-icing operations. Known for its high efficiency as a drying agent and its ability to control dust on

About this dataset

Context

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

Key observations

Largest age group (population): Male # 40-44 years (88) | Female # 35-39 years (59). 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 Graettinger population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Graettinger is shown in the following column.
• Population (Female): The female population in the Graettinger 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 Graettinger 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 Graettinger Population by Gender. You can refer the same here

As of January 2025, around 13.7 percent of paid iOS apps admitted collecting data from users engaging with their mobile products. In comparison, approximately 53 percent of free-to-download iOS apps reported they collect private data from users worldwide, while approximately 86 percent of paid apps have not declared whether they collect users' privacy data.

The T700 Grade and Above Carbon Fiber market is experiencing significant growth, driven by increased demand across various industries such as aerospace, automotive, sports and recreation, and renewable energy. Renowned for its superior strength-to-weight ratio and exceptional tensile properties, T700-grade carbon fi

The Battery Grade Manganese Carbonate market is experiencing significant growth, driven by the soaring demand for high-performance battery materials in the electric vehicle (EV) and renewable energy sectors. As a critical component in lithium-ion batteries, battery grade manganese carbonate contributes to improved e

The Industrial Grade Optical Network Unit (OGU) market is experiencing significant growth, driven by the rising demand for robust and reliable communication solutions across various industries. These units are essential components in creating high-speed optical networks, facilitating seamless data transmission in ch

Report on Demographic Data in New York City Public Schools, 2020-21Enrollment counts are based on the November 13 Audited Register for 2020. Categories with total enrollment values of zero were omitted. Pre-K data includes students in 3-K. Data on students with disabilities, English language learners, and student poverty status are as of March 19, 2021. Due to missing demographic information in rare cases and suppression rules, demographic categories do not always add up to total enrollment and/or citywide totals. NYC DOE "Eligible for free or reduced-price lunch” counts are based on the number of students with families who have qualified for free or reduced-price lunch or are eligible for Human Resources Administration (HRA) benefits. English Language Arts and Math state assessment results for students in grade 9 are not available for inclusion in this report, as the spring 2020 exams did not take place. Spring 2021 ELA and Math test results are not included in this report for K-8 students in 2020-21. Due to the COVID-19 pandemic’s complete transformation of New York City’s school system during the 2020-21 school year, and in accordance with New York State guidance, the 2021 ELA and Math assessments were optional for students to take. As a result, 21.6% of students in grades 3-8 took the English assessment in 2021 and 20.5% of students in grades 3-8 took the Math assessment. These participation rates are not representative of New York City students and schools and are not comparable to prior years, so results are not included in this report. Dual Language enrollment includes English Language Learners and non-English Language Learners. Dual Language data are based on data from STARS; as a result, school participation and student enrollment in Dual Language programs may differ from the data in this report. STARS course scheduling and grade management software applications provide a dynamic internal data system for school use; while standard course codes exist, data are not always consistent from school to school. This report does not include enrollment at District 75 & 79 programs. Students enrolled at Young Adult Borough Centers are represented in the 9-12 District data but not the 9-12 School data. “Prior Year” data included in Comparison tabs refers to data from 2019-20. “Year-to-Year Change” data included in Comparison tabs indicates whether the demographics of a school or special program have grown more or less similar to its district or attendance zone (or school, for special programs) since 2019-20. Year-to-year changes must have been at least 1 percentage point to qualify as “More Similar” or “Less Similar”; changes less than 1 percentage point are categorized as “No Change”. The admissions method tab contains information on the admissions methods used for elementary, middle, and high school programs during the Fall 2020 admissions process. Fall 2020 selection criteria are included for all programs with academic screens, including middle and high school programs. Selection criteria data is based on school-reported information. Fall 2020 Diversity in Admissions priorities is included for applicable middle and high school programs. Note that the data on each school’s demographics and performance includes all students of the given subgroup who were enrolled in the school on November 13, 2020. Some of these students may not have been admitted under the admissions method(s) shown, as some students may have enrolled in the school outside the centralized admissions process (via waitlist, over-the-counter, or transfer), and schools may have changed admissions methods over the past few years. Admissions methods are only reported for grades K-12. "3K and Pre-Kindergarten data are reported at the site level. See below for definitions of site types included in this report. Additionally, please note that this report excludes all students at District 75 sites, reflecting slightly lower enrollment than our total of 60,265 students

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (416) | Female # 55-59 years (349). 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 Iron Mountain population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Iron Mountain is shown in the following column.
• Population (Female): The female population in the Iron Mountain 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 Iron Mountain 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 Iron Mountain Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (463) | Female # 50-54 years (373). 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 Grand Rapids town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grand Rapids town is shown in the following column.
• Population (Female): The female population in the Grand Rapids town 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 Grand Rapids town 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 Grand Rapids town Population by Gender. You can refer the same here

The Audiophile Grade Capacitor market has emerged as a crucial segment within the high-fidelity audio industry, catering to a niche of enthusiasts who seek unparalleled sound quality in their audio systems. These specialized capacitors are designed to enhance the performance of premium audio equipment by minimizing

Statistics on Capital Markets Services Licence holders by Core Activity

Persistence to last grade of primary, female (% of cohort) in Qatar was reported at 93.96 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Qatar - Persistence to last grade of primary, female (% of cohort) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.