About this dataset

Context

The dataset tabulates the Medicine Lake 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 Medicine Lake. The dataset can be utilized to understand the population distribution of Medicine Lake by age. For example, using this dataset, we can identify the largest age group in Medicine Lake.

Key observations

The largest age group in Medicine Lake, MN was for the group of age 50-54 years with a population of 48 (11.68%), according to the 2021 American Community Survey. At the same time, the smallest age group in Medicine Lake, MN was the 85+ years with a population of 3 (0.73%). 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

Variables / Data Columns

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

In 2023, the gross medical cost trend was forecast to be the highest in the Latin American region, reaching approximately 18.5 percent. This was followed by the Middle East and Africa region, where gross medical cost trend was forecast to reach 11.5 percent.

During the period analyzed, there was a continuous decrease in the share of population without a medical insurance in Bolivia. In 2011 close to 60 percent of the population did not have medical insurance. This figure decreased to 18.8 percent by 2021. The sharpest decline of people without health insurance occurred between 2018 and 2019, when the percentage of uninsured individuals dropped from 63 percent to 33.7 percent. As of 2020, Bolivia allocated the equivalent to eight percent of its gross domestic product (GDP) to health care.

About this dataset

Context

The dataset tabulates the Medical Lake 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 Medical Lake 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 2022, the population of Medical Lake was 5,016, a 3.02% increase year-by-year from 2021. Previously, in 2021, Medical Lake population was 4,869, a decline of 0.16% compared to a population of 4,877 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Medical Lake increased by 1,145. In this period, the peak population was 5,064 in the year 2010. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Medical Lake is shown in this column.
• Year on Year Change: This column displays the change in Medical Lake 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 Medical Lake Population by Year. You can refer the same here

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and CCGs in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings and monthly NHS Staff Sickness Absence reports and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. In the next quarterly release of data, September data published in December, we intend to stop publishing the following CSV documents: 1. ‘HCHS staff in NHS Trusts and CCGs in England, Organisation and Job Type CSV’ These data are already available within the ‘HCHS staff in NHS Trusts and CCGs - Staff in Post summary tables’ on the tab ‘Source - Org, SG, grade, AoW’ 2. ‘HCHS staff in NHS Support Organisations and Central Bodies in England, Organisation and Job Type CSV’ These data are already available within the ‘HCHS staff in NHS Support Orgs and Central Bodies’ on the tab ‘Source - Staff Grp, Grade, AoW’ Please let us know if this causes any inconvenience. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

In 2021, there were 27 medical students who graduated per 100,000 population in Latvia, the highest in OECD countries. In comparison there were just 13 graduates of medicine per 100,000 population in the UK, less than half of the top countries. This statistic depicts the number of medical graduates per 100,000 inhabitants in OECD countries in 2021.

Notes: "Total Number of Veterans" represents FY 2021 projected Veteran counts from VA's Veteran Population Projection Model 2020 (VetPop20). These projections represent living Veterans as of 9/30/2021 and are made with the assumption that Veterans are not missing information (e.g., race, etc.). "Veteran VA Users" represents historical Veteran VA user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used any VA benefit or service during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Healthcare Users" represents historical Veteran VA healthcare user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used VA healthcare during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. Sources: USVETS 2021 and VetPop20 Effective Date: 9/30/2021

About this dataset

Context

The dataset tabulates the Medicine Park 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 Medicine Park. The dataset can be utilized to understand the population distribution of Medicine Park by age. For example, using this dataset, we can identify the largest age group in Medicine Park.

Key observations

The largest age group in Medicine Park, OK was for the group of age 45-49 years with a population of 62 (20.53%), according to the 2021 American Community Survey. At the same time, the smallest age group in Medicine Park, OK was the 85+ years with a population of 0 (0.00%). 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

Variables / Data Columns

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

The survey of medical end-of-life decisions presents information on medical end-of-life decisions by attending physicians. For this survey, a random sample is taken from death certificates at Statistics Netherlands on persons listed in the Dutch population register who died in the months August to November inclusive of the survey year. The sample is raised to an annual figure.

This table concerns deaths by medical end-of-life decisions, cause of death and age.

Data available from: 2010, 2015 and 2021

Status of the figures: All data are definite.

Changes as of 26 May 2023: - Figures for 2021 have been added. - In 2021, there were 96 deceased persons with unknown 'medical end-of-life'. These were only added to the total. The underlying numbers therefore do not add up to the total.

When will new figures be published? The survey takes place every five years. In 2020, the survey was postponed by one year due to the high workload in the healthcare sector on account of COVID-19. As a result, there is a one-off six-year interval between 2015 and 2021.

The data shows the statistics for different medical services on monthly distribution intervals in different states of India in the years 2021-2022. Note:-(1)Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience a healthier delivery and outcome. (2)Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. (3)Postnatal care is defined as a care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life. (4)The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with prevention and control of vector borne diseases namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE).

About this dataset

Context

The dataset tabulates the Medicine Lake 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 Medicine Lake 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 Medicine Lake was 244, a 1.61% decrease year-by-year from 2022. Previously, in 2022, Medicine Lake population was 248, a decline of 0% compared to a population of 248 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Medicine Lake decreased by 35. In this period, the peak population was 279 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 Medicine Lake is shown in this column.
• Year on Year Change: This column displays the change in Medicine Lake 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 Medicine Lake Population by Year. You can refer the same here

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

Notes: "Total Number of Veterans" represents FY 2021 projected Veteran counts from VA's Veteran Population Projection Model 2020 (VetPop20). These projections represent living Veterans as of 9/30/2021 and are made with the assumption that Veterans are not missing information (e.g., sex, age, etc.). "Veteran VA Users" represents historical Veteran VA user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used any VA benefit or service during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Healthcare Users" represents historical Veteran VA healthcare user counts from VA's United States Veterans Eligibility Trends and Statistics 2021 (USVETS 2021). These counts represent Veterans who used VA healthcare during FY 2021 (includes both living and deceased Veterans as of end of FY 2021). "Veteran VA Users" includes Veteran users of VA healthcare or any other VA benefit or service. There are 1,458 Veteran VA Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age. There are 1,387 Veteran VA Healthcare Users not shown in the table below whose sex is missing. Of these, 1,360 are missing age. Sources: USVETS 2021 and VetPop20 Effective Date: 9/30/2021

In 2021, over five percent of the total population of New Hampshire was uninsured, one of the lowest in the U.S. The largest part of New Hampshire's population was insured through employers. This statistic depicts the health insurance status distribution of the total population in New Hampshire in 2021.

In 2021, around 16.7 percent of the total population of Texas was uninsured, the highest by far of any U.S. state. The largest part of Texas's population was insured through employers. This statistic depicts the health insurance status distribution of the total population in Texas in 2021.

This table contains data on the perceived state of health and on contacts with providers of medical care of the Dutch population in private households. These data can be grouped by several personal characteristics.

Data available for 2014-2021

Status of the data: final.

Changes as of July 31, 2023: None, the table has been discontinued.

When will new data be published? Not applicable. This table has been replaced, see paragraph 3 for a link to the new table.

In 2021, over ten percent of the total population of New Mexico was uninsured, while over a third of New Mexico's population was insured through employers. This statistic depicts the health insurance status distribution of the total population in New Mexico in 2021.

This table provides data from 2021 on the estimated total population that has had a medical test in the last 12 months according to the type of medical center where the medical test was performed. The information is disaggregated territorially at the level of large regions of the Canary Islands.

This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning.

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.