Medical Doctors in Turkey increased to 2.18 per 1000 people in 2021 from 2.05 per 1000 people in 2020. This dataset includes a chart with historical data for Turkey Medical Doctors.

No. of Doctors Per 10,000 Total Population

Medical Doctors in the United States increased to 2.77 per 1000 people in 2019 from 2.74 per 1000 people in 2018. This dataset includes a chart with historical data for the United States Medical Doctors.

Nigeria NG: Physicians: per 1000 People data was reported at 0.395 Ratio in 2010. This records an increase from the previous number of 0.376 Ratio for 2009. Nigeria NG: Physicians: per 1000 People data is updated yearly, averaging 0.192 Ratio from Dec 1960 (Median) to 2010, with 19 observations. The data reached an all-time high of 0.395 Ratio in 2010 and a record low of 0.017 Ratio in 1960. Nigeria NG: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

Medical Doctors in Sweden decreased to 4.29 per 1000 people in 2019 from 4.32 per 1000 people in 2018. This dataset includes a chart with historical data for Sweden Medical Doctors.

Number of doctors per 10,000 population Source: Doctors - Boards and Councils Office, Department of Health Population - Demographic Statistics Section (1), Census and Statistics Department

Medical Doctors in Italy increased to 4.25 per 1000 people in 2022 from 4.10 per 1000 people in 2021. This dataset includes a chart with historical data for Italy Medical Doctors.

Medical Doctors in Poland increased to 3.30 per 1000 people in 2019 from 2.38 per 1000 people in 2017. This dataset includes a chart with historical data for Poland Medical Doctors.

This table contains 6720 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (5 items: Territories; Yukon; Northwest Territories including Nunavut; Northwest Territories ...), Age group (14 items: Total; 12 years and over; 12-19 years; 12-14 years; 15-19 years ...), Sex (3 items: Both sexes; Females; Males ...), Contact with medical doctors (4 items: Total population for the variable contact with medical doctors; Contact with medical doctors in past 12 months; Contact with medical doctors; not stated; No contact with medical doctors in past 12 months ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

This table contains 205632 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (160 items: Canada; Central Regional Integrated Health Authority; Newfoundland and Labrador; Newfoundland and Labrador; Eastern Regional Integrated Health Authority; Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12 to 19 years; 12 to 14 years; 15 to 19 years ...) Sex (3 items: Both sexes; Males; Females ...) Contact with medical doctors (4 items: Total population for the variable contact with medical doctors; Contact with medical doctors in the past 12 months; No contact with medical doctors in the past 12 months; Contact with medical doctors in the past 12 months; not stated ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons ...).

Medical Doctors in Japan increased to 2.67 per 1000 people in 2020 from 2.50 per 1000 people in 2016. This dataset includes a chart with historical data for Japan Medical Doctors.

Medical Doctors in Germany increased to 4.98 per 1000 people in 2021 from 4.90 per 1000 people in 2020. This dataset includes a chart with historical data for Germany Medical Doctors.

This dataset enables studying the relationship between a country's economic and social factors — such as GDP per capita, government health expenditure, Human Development Index (HDI), World Happiness Index, and density of doctors per population — with several key health indicators, like alcohol consumption, life expectancy, child mortality, non-communicable disease mortality, obesity prevalence, and undernourishment rates. It covers 50 countries from 2002 to 2021.A dashboard is also provided to facilitate the study, including plots for comparison of any selected variables for any of the available years, countries and geographic regions.

This dataset and dashboard has been created as part of a data management project for university IQS, Ramon Llull.

Forecast: Population Per Medical Doctors Graduates in Italy 2024 - 2028 Discover more data with ReportLinker!

Medical Doctors in Latvia increased to 3.36 per 1000 people in 2021 from 3.34 per 1000 people in 2020. This dataset includes a chart with historical data for Latvia Medical Doctors.

Forecast: Population Per Medical Doctors Graduates in France 2024 - 2028 Discover more data with ReportLinker!

Number of family doctors per 10 000 inhabitants, in territorial aspect, 2008-2017 Tables Fact, Number Of Family Doctors Per 10 000 Inhabitants In Territorial Aspect 2008 2017TSV Number of family doctors per 10 000 inhabitants by Districts/Regions and Years districts health_protection medical_institutions years Column Descriptions Fact, Number Of Family Doctors Per 10 000 Inhabitants In Territorial Aspect 2008 2017

Analysis of ‘World Bank WDI 2.12 - Health Systems’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/danevans/world-bank-wdi-212-health-systems on 21 November 2021.

--- Dataset description provided by original source is as follows ---

World Bank - World Development Indicators: Health Systems

This is a digest of the information described at http://wdi.worldbank.org/table/2.12# It describes various health spending per capita by Country, as well as doctors, nurses and midwives, and specialist surgical staff per capita

Content

Notes, explanations, etc. 1. There are countries/regions in the World Bank data not in the Covid-19 data, and countries/regions in the Covid-19 data with no World Bank data. This is unavoidable. 2. There were political decisions made in both datasets that may cause problems. I chose to go forward with the data as presented, and did not attempt to modify the decisions made by the dataset creators (e.g., the names of countries, what is and is not a country, etc.).

Columns are as follows: 1. Country_Region: the region as used in Kaggle Covid-19 spread data challenges. 2. Province_State: the region as used in Kaggle Covid-19 spread data challenges. 3. World_Bank_Name: the name of the country used by the World Bank 4. Health_exp_pct_GDP_2016: Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.

1. Health_exp_public_pct_2016: Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.

2. Health_exp_out_of_pocket_pct_2016: Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.

3. Health_exp_per_capita_USD_2016: Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.

4. per_capita_exp_PPP_2016: Current expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).

5. External_health_exp_pct_2016: Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.

6. Physicians_per_1000_2009-18: Physicians include generalist and specialist medical practitioners.

7. Nurse_midwife_per_1000_2009-18: Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.

8. Specialist_surgical_per_1000_2008-18: Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.

9. Completeness_of_birth_reg_2009-18: Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.

10. Completeness_of_death_reg_2008-16: Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Inspiration

Does health spending levels (public or private), or hospital staff have any effect on the rate at which Covid-19 spreads in a country? Can we use this data to predict the rate at which Cases or Fatalities will grow?

--- Original source retains full ownership of the source dataset ---

Belarus BY: Physicians: per 1000 People data was reported at 4.470 Ratio in 2020. This records an increase from the previous number of 4.434 Ratio for 2019. Belarus BY: Physicians: per 1000 People data is updated yearly, averaging 3.300 Ratio from Dec 1990 (Median) to 2020, with 21 observations. The data reached an all-time high of 5.051 Ratio in 2015 and a record low of 2.896 Ratio in 1991. Belarus BY: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Physicians include generalist and specialist medical practitioners.;World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.;Weighted average;This is the Sustainable Development Goal indicator 3.c.1 [https://unstats.un.org/sdgs/metadata/].

Medical Doctors in Israel increased to 3.47 per 1000 people in 2021 from 3.37 per 1000 people in 2019. This dataset includes a chart with historical data for Israel Medical Doctors.