If Saudi Arabia were your home instead of Tanzania you would...

zomba

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zomba

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consume 106.7 times more oil use
74.4 times more
electricity
make 14.6 times more money
spend 10 times more money on health care
be 99.84% less likely to have HIV/AIDS
live 24.02 years longer
have 83.56% less chance of dying in infancy
have 15.64% less babies

Follow the link to compare if other countries (country of our choice) were your home:

Source: Comparing Tanzania to Saudi Arabia.
 

The Mockingjay

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The Mockingjay

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I would be dead sababu ningeendesha gari au ningeenda kazini bila kusindikizwa na male relative. Why all that without uhuru wa ukweli kwa kina dada. Nashukuru nimezaliwa Mtanzania regardless of matatizo yetu yote tuliyonayo.
 

zomba

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zomba

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I would be dead sababu ningeendesha gari au ningeenda kazini bila kusindikizwa na male relative. Why all that without uhuru wa ukweli kwa kina dada. Nashukuru nimezaliwa Mtanzania regardless of matatizo yetu yote tuliyonayo.
Sijaona hilo katika vigezo tajwa hapo juu.
 

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X-PASTER

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Saudi Arabia
U.S.A
consume 106.7 times more oil
Saudi Arabia consumes 3.4225 gallons of oil per day per capita while Tanzania consumes 0.0321
This entry is the total oil consumed in gallons per day (gal/day) divided by the population. The discrepancy between the amount of oil produced and/or imported and the amount consumed and/or exported is due to the omission of stock changes, refinery gains, and other complicating factors.
consume 82.3 times more oil
The United States consumes 2.6400 gallons of oil per day per capita while Tanzania consumes 0.0321
This entry is the total oil consumed in gallons per day (gal/day) divided by the population. The discrepancy between the amount of oil produced and/or imported and the amount consumed and/or exported is due to the omission of stock changes, refinery gains, and other complicating factors.
Source: CIA World Factbook
use 74.4 times more electricity
The per capita consumption of electricity in Saudi Arabia is 5,653kWh while in Tanzania it is 76kWh.
This entry consists of total electricity generated annually plus imports and minus exports, expressed in kilowatt-hours. The discrepancy between the amount of electricity generated and/or imported and the amount consumed and/or exported is accounted for as loss in transmission and distribution.
use 164.4 times more electricity
The per capita consumption of electricity in The United States is 12,484kWh while in Tanzania it is 76kWh.
This entry consists of total electricity generated annually plus imports and minus exports, expressed in kilowatt-hours. The discrepancy between the amount of electricity generated and/or imported and the amount consumed and/or exported is accounted for as loss in transmission and distribution.
Source: CIA World Factbook
make 14.6 times more money
The GDP per capita in Saudi Arabia is $20,400 while in Tanzania it is $1,400
This entry shows GDP on a purchasing power parity basis divided by population as of 1 July for the same year. A nation's GDP at purchasing power parity (PPP) exchange rates is the sum value of all goods and services produced in the country valued at prices prevailing in the United States. This is the measure most economists prefer when looking at per-capita welfare and when comparing living conditions or use of resources across countries. The measure is difficult to compute, as a US dollar value has to be assigned to all goods and services in the country regardless of whether these goods and services have a direct equivalent in the United States (for example, the value of an ox-cart or non-US military equipment); as a result, PPP estimates for some countries are based on a small and sometimes different set of goods and services. In addition, many countries do not formally participate in the World Bank's PPP project that calculates these measures, so the resulting GDP estimates for these countries may lack precision. For many developing countries, PPP-based GDP measures are multiples of the official exchange rate (OER) measure. The differences between the OER- and PPP-denominated GDP values for most of the wealthy industrialized countries are generally much smaller.
make 33.1 times more money
The GDP per capita in The United States is $46,400 while in Tanzania it is $1,400
This entry shows GDP on a purchasing power parity basis divided by population as of 1 July for the same year. A nation's GDP at purchasing power parity (PPP) exchange rates is the sum value of all goods and services produced in the country valued at prices prevailing in the United States. This is the measure most economists prefer when looking at per-capita welfare and when comparing living conditions or use of resources across countries. The measure is difficult to compute, as a US dollar value has to be assigned to all goods and services in the country regardless of whether these goods and services have a direct equivalent in the United States (for example, the value of an ox-cart or non-US military equipment); as a result, PPP estimates for some countries are based on a small and sometimes different set of goods and services. In addition, many countries do not formally participate in the World Bank's PPP project that calculates these measures, so the resulting GDP estimates for these countries may lack precision. For many developing countries, PPP-based GDP measures are multiples of the official exchange rate (OER) measure. The differences between the OER- and PPP-denominated GDP values for most of the wealthy industrialized countries are generally much smaller.
Source: CIA World Factbook
spend 10 times more money on health care
Per capita public and private health expenditures combined in Saudi Arabia are $720 USD while Tanzania spends $72 USD
This entry contains the per capita public and private health expenditure at purchase power parity using US Dollars. This figure combines government, personal, and employer spending on health care
Source: World Health Organization
spend 93.3 times more money on health care
Per capita public and private health expenditures combined in The United States are $6,719 USD while Tanzania spends $72 USD
This entry contains the per capita public and private health expenditure at purchase power parity using US Dollars. This figure combines government, personal, and employer spending on health care
Source: World Health Organization
be 99.84% less likely to have HIV/AIDS
The number of adults living with HIV/AIDS in Saudi Arabia is 0.01% while in Tanzania it is 6.20%.
This entry gives an estimate of the percentage of adults (aged 15-49) living with HIV/AIDS. The adult prevalence rate is calculated by dividing the estimated number of adults living with HIV/AIDS at yearend by the total adult population at yearend.
Source: CIA World Factbook
be 90.32% less likely to have HIV/AIDS
The number of adults living with HIV/AIDS in The United States is 0.60% while in Tanzania it is 6.20%.
This entry gives an estimate of the percentage of adults (aged 15-49) living with HIV/AIDS. The adult prevalence rate is calculated by dividing the estimated number of adults living with HIV/AIDS at yearend by the total adult population at yearend.
Source: CIA World Factbook
live 24.02 years longer
The life expectancy at birth in Saudi Arabia is 76.51 while in Tanzania it is 52.49.
This entry contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
Source: CIA World Factbook
live 25.75 years longer
The life expectancy at birth in The United States is 78.24 while in Tanzania it is 52.49.
This entry contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
Source: CIA World Factbook
have 83.56% less chance of dying in infancy
The number of deaths of infants under one year old in a given year per 1,000 live births in Saudi Arabia is 11.20 while in Tanzania it is 68.13.
This entry gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
Source: CIA World Factbook
have 90.99% less chance of dying in infancy
The number of deaths of infants under one year old in a given year per 1,000 live births in The United States is 6.14 while in Tanzania it is 68.13.
This entry gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
Source: CIA World Factbook
have 15.64% less babies
The annual number of births per 1,000 people in Saudi Arabia is 28.21 while in Tanzania it is 33.44.
This entry gives the average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
Source: CIA World Factbook
have 58.64% less babies
The annual number of births per 1,000 people in The United States is 13.83 while in Tanzania it is 33.44.
This entry gives the average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
Source: CIA World Factbook
 

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If Kenya were your home instead of Tanzania you would...

consume 2.5 times more oil Kenya consumes 0.0787 gallons of oil per day per capita while Tanzania consumes 0.0321
This entry is the total oil consumed in gallons per day (gal/day) divided by the population. The discrepancy between the amount of oil produced and/or imported and the amount consumed and/or exported is due to the omission of stock changes, refinery gains, and other complicating factors.
Source: CIA World Factbook

use 59.86% more electricity The per capita consumption of electricity in Kenya is 121kWh while in Tanzania it is 76kWh.
This entry consists of total electricity generated annually plus imports and minus exports, expressed in kilowatt-hours. The discrepancy between the amount of electricity generated and/or imported and the amount consumed and/or exported is accounted for as loss in transmission and distribution.
Source: CIA World Factbook


live 6.33 years longer The life expectancy at birth in Kenya is 58.82 while in Tanzania it is 52.49.
This entry contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
Source: CIA World Factbook


experience 22.83% more of a class divide The GINI index measures the degree of inequality in the distribution of family income. In Kenya is 42.50 while in Tanzania it is 34.60.
This index measures the degree of inequality in the distribution of family income in a country. The index is calculated from the Lorenz curve, in which cumulative family income is plotted against the number of families arranged from the poorest to the richest. The index is the ratio of (a) the area between a country's Lorenz curve and the 45 degree helping line to (b) the entire triangular area under the 45 degree line. The more nearly equal a country's income distribution, the closer its Lorenz curve to the 45 degree line and the lower its Gini index, e.g., a Scandinavian country with an index of 25. The more unequal a country's income distribution, the farther its Lorenz curve from the 45 degree line and the higher its Gini index, e.g., a Sub-Saharan country with an index of 50. If income were distributed with perfect equality, the Lorenz curve would coincide with the 45 degree line and the index would be zero; if income were distributed with perfect inequality, the Lorenz curve would coincide with the horizontal axis and the right vertical axis and the index would be 100.
Source: CIA World Factbook


have 21.49% less chance of dying in infancy The number of deaths of infants under one year old in a given year per 1,000 live births in Kenya is 53.49 while in Tanzania it is 68.13.
This entry gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
Source: CIA World Factbook


be 8.06% more likely to have HIV/AIDS The number of adults living with HIV/AIDS in Kenya is 6.70% while in Tanzania it is 6.20%.
This entry gives an estimate of the percentage of adults (aged 15-49) living with HIV/AIDS. The adult prevalence rate is calculated by dividing the estimated number of adults living with HIV/AIDS at yearend by the total adult population at yearend.
Source: CIA World Factbook


make 14.29% more money The GDP per capita in Kenya is $1,600 while in Tanzania it is $1,400
This entry shows GDP on a purchasing power parity basis divided by population as of 1 July for the same year. A nation's GDP at purchasing power parity (PPP) exchange rates is the sum value of all goods and services produced in the country valued at prices prevailing in the United States. This is the measure most economists prefer when looking at per-capita welfare and when comparing living conditions or use of resources across countries. The measure is difficult to compute, as a US dollar value has to be assigned to all goods and services in the country regardless of whether these goods and services have a direct equivalent in the United States (for example, the value of an ox-cart or non-US military equipment); as a result, PPP estimates for some countries are based on a small and sometimes different set of goods and services. In addition, many countries do not formally participate in the World Bank's PPP project that calculates these measures, so the resulting GDP estimates for these countries may lack precision. For many developing countries, PPP-based GDP measures are multiples of the official exchange rate (OER) measure. The differences between the OER- and PPP-denominated GDP values for most of the wealthy industrialized countries are generally much smaller.
Source: CIA World Factbook


have 5.08% more babies The annual number of births per 1,000 people in Kenya is 35.14 while in Tanzania it is 33.44.
This entry gives the average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
Source: CIA World Factbook


spend 6.94% less money on health care Per capita public and private health expenditures combined in Kenya are $67 USD while Tanzania spends $72 USD
This entry contains the per capita public and private health expenditure at purchase power parity using US Dollars. This figure combines government, personal, and employer spending on health care
Source: World Health Organization
 

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If Uganda were your home instead of Tanzania you would...

consume 49.08% less oil
Uganda consumes 0.0163 gallons of oil per day per capita while Tanzania consumes 0.0321
This entry is the total oil consumed in gallons per day (gal/day) divided by the population. The discrepancy between the amount of oil produced and/or imported and the amount consumed and/or exported is due to the omission of stock changes, refinery gains, and other complicating factors.
Source: CIA World Factbook


have 42.19% more babies The annual number of births per 1,000 people in Uganda is 47.55 while in Tanzania it is 33.44.
This entry gives the average annual number of births during a year per 1,000 persons in the population at midyear; also known as crude birth rate. The birth rate is usually the dominant factor in determining the rate of population growth. It depends on both the level of fertility and the age structure of the population.
Source: CIA World Factbook


experience 32.08% more of a class divide The GINI index measures the degree of inequality in the distribution of family income. In Uganda is 45.70 while in Tanzania it is 34.60.
This index measures the degree of inequality in the distribution of family income in a country. The index is calculated from the Lorenz curve, in which cumulative family income is plotted against the number of families arranged from the poorest to the richest. The index is the ratio of (a) the area between a country's Lorenz curve and the 45 degree helping line to (b) the entire triangular area under the 45 degree line. The more nearly equal a country's income distribution, the closer its Lorenz curve to the 45 degree line and the lower its Gini index, e.g., a Scandinavian country with an index of 25. The more unequal a country's income distribution, the farther its Lorenz curve from the 45 degree line and the higher its Gini index, e.g., a Sub-Saharan country with an index of 50. If income were distributed with perfect equality, the Lorenz curve would coincide with the 45 degree line and the index would be zero; if income were distributed with perfect inequality, the Lorenz curve would coincide with the horizontal axis and the right vertical axis and the index would be 100.
Source: CIA World Factbook


be 12.9% less likely to have HIV/AIDS The number of adults living with HIV/AIDS in Uganda is 5.40% while in Tanzania it is 6.20%.
This entry gives an estimate of the percentage of adults (aged 15-49) living with HIV/AIDS. The adult prevalence rate is calculated by dividing the estimated number of adults living with HIV/AIDS at yearend by the total adult population at yearend.
Source: CIA World Factbook


use 18.48% less electricity The per capita consumption of electricity in Uganda is 62kWh while in Tanzania it is 76kWh.
This entry consists of total electricity generated annually plus imports and minus exports, expressed in kilowatt-hours. The discrepancy between the amount of electricity generated and/or imported and the amount consumed and/or exported is accounted for as loss in transmission and distribution.
Source: CIA World Factbook


make 7.14% less money The GDP per capita in Uganda is $1,300 while in Tanzania it is $1,400
This entry shows GDP on a purchasing power parity basis divided by population as of 1 July for the same year. A nation's GDP at purchasing power parity (PPP) exchange rates is the sum value of all goods and services produced in the country valued at prices prevailing in the United States. This is the measure most economists prefer when looking at per-capita welfare and when comparing living conditions or use of resources across countries. The measure is difficult to compute, as a US dollar value has to be assigned to all goods and services in the country regardless of whether these goods and services have a direct equivalent in the United States (for example, the value of an ox-cart or non-US military equipment); as a result, PPP estimates for some countries are based on a small and sometimes different set of goods and services. In addition, many countries do not formally participate in the World Bank's PPP project that calculates these measures, so the resulting GDP estimates for these countries may lack precision. For many developing countries, PPP-based GDP measures are multiples of the official exchange rate (OER) measure. The differences between the OER- and PPP-denominated GDP values for most of the wealthy industrialized countries are generally much smaller.
Source: CIA World Factbook


have 6.5% less chance of dying in infancy The number of deaths of infants under one year old in a given year per 1,000 live births in Uganda is 63.70 while in Tanzania it is 68.13.
This entry gives the number of deaths of infants under one year old in a given year per 1,000 live births in the same year; included is the total death rate, and deaths by sex, male and female. This rate is often used as an indicator of the level of health in a country.
Source: CIA World Factbook


live 0.49 years longer The life expectancy at birth in Uganda is 52.98 while in Tanzania it is 52.49.
This entry contains the average number of years to be lived by a group of people born in the same year, if mortality at each age remains constant in the future. The entry includes total population as well as the male and female components. Life expectancy at birth is also a measure of overall quality of life in a country and summarizes the mortality at all ages. It can also be thought of as indicating the potential return on investment in human capital and is necessary for the calculation of various actuarial measures.
Source: CIA World Factbook


spend 1.39% less money on health care Per capita public and private health expenditures combined in Uganda are $71 USD while Tanzania spends $72 USD
This entry contains the per capita public and private health expenditure at purchase power parity using US Dollars. This figure combines government, personal, and employer spending on health care
Source: World Health Organization
 

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