The life expectancy at birth in Zambia is 51.83 while in Chile it is 78.44.

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

The percentage of adults living with HIV/AIDS in Zambia is 12.70% while in Chile it is 0.40%.

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

The number of deaths of infants under one year old in a given year per 1,000 live births in Zambia is 66.62 while in Chile it is 7.02.

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

Zambia has an unemployment rate of 15.00% while Chile has 6.30%

This entry contains the percent of the labor force that is without jobs.
Source: CIA World Factbook

The GDP per capita in Zambia is $1,800 while in Chile it is $19,100

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

6.20 in every 100,000 people are murdered annually in Zambia compared to 3.10 in Chile

This entry contains the number of victims of an unlawful death purposefully inflicted on a person by another person. Data is originally sourced from either criminal justice or public health systems.
Source: United Nations Office on Drugs and Crime

The GINI index measures the degree of inequality in the distribution of family income. In Zambia it is 57.50 while in Chile it is 52.10.

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