| Table 1 | |||||||||
| Education and Income (Selection of Countries) | |||||||||
| Country | Edu1 | Edu2 | Average Edu | Per Capita GDP | |||||
|---|---|---|---|---|---|---|---|---|---|
| Albania | 65.3 | 64.6 | 65.0 | 13,364 | |||||
| Australia | 90.0 | 86.9 | 88.4 | 51,663 | |||||
| Bahrain | 68.9 | 71.4 | 70.2 | 47,303 | |||||
| Bangladesh | 50.7 | 46.6 | 48.6 | 4,372 | |||||
| Bermuda | 96.4 | 95.8 | 96.1 | 58,305 | |||||
| Bolivia | 59.8 | 54.7 | 57.3 | 7,873 | |||||
| Brazil | 56.2 | 57.4 | 56.8 | 16,096 | |||||
| Cayman Islands | 97.0 | 97.4 | 97.2 | 72,608 | |||||
| Congo, Dem. Rep. | 40.3 | 41.0 | 40.6 | 932 | |||||
| Cote d'Ivoire | 40.4 | 37.1 | 38.7 | 4,207 | |||||
| Cyprus | 89.1 | 86.2 | 87.6 | 36,155 | |||||
| Denmark | 93.0 | 91.5 | 92.2 | 55,671 | |||||
| El Salvador | 43.9 | 43.5 | 43.7 | 8,332 | |||||
| Finland | 86.2 | 87.9 | 87.1 | 48,417 | |||||
| France | 76.9 | 81.8 | 79.3 | 45,342 | |||||
| Germany | 88.0 | 93.6 | 90.8 | 53,075 | |||||
| Greece | 68.3 | 66.7 | 67.5 | 29,592 | |||||
| Guatemala | 42.6 | 40.6 | 41.6 | 8,462 | |||||
| Indonesia | 46.4 | 47.1 | 46.8 | 13,080 | |||||
| Iran, Islamic Rep. | 63.2 | 60.9 | 62.0 | 21,011 | |||||
| Israel | 96.9 | 93.2 | 95.0 | 39,919 | |||||
| Korea, Rep. | 81.7 | 82.8 | 82.3 | 40,112 | |||||
| Kuwait | 48.6 | 44.3 | 46.5 | 72,898 | |||||
| Mauritius | 53.6 | 55.5 | 54.6 | 23,751 | |||||
| Mexico | 53.2 | 48.6 | 50.9 | 19,845 | |||||
| Moldova | 73.8 | 79.3 | 76.5 | 7,272 | |||||
| Mongolia | 72.9 | 74.3 | 73.6 | 13,800 | |||||
| Mozambique | 32.5 | 27.1 | 29.8 | 1,460 | |||||
| Netherlands | 87.8 | 84.3 | 86.1 | 56,329 | |||||
| New Zealand | 82.8 | 80.3 | 81.6 | 41,005 | |||||
| Norway | 89.6 | 91.2 | 90.4 | 65,511 | |||||
| Oman | 57.5 | 60.7 | 59.1 | 41,860 | |||||
| Pakistan | 44.4 | 42.7 | 43.6 | 5,567 | |||||
| Panama | 58.1 | 55.0 | 56.6 | 25,554 | |||||
| Paraguay | 58.4 | 55.8 | 57.1 | 13,600 | |||||
| Philippines | 63.7 | 65.7 | 64.7 | 8,951 | |||||
| Saudi Arabia | 69.3 | 63.7 | 66.5 | 55,336 | |||||
| Sweden | 87.4 | 91.3 | 89.3 | 53,209 | |||||
| Switzerland | 106.3 | 102.2 | 104.2 | 68,061 | |||||
| Trinidad and Tobago | 61.4 | 65.5 | 63.4 | 32,015 | |||||
| United Kingdom | 97.3 | 97.6 | 97.4 | 45,974 | |||||
| United States | 100.0 | 100.0 | 100.0 | 63,701 | |||||
| Uruguay | 49.0 | 45.0 | 47.0 | 23,572 | |||||
| West Bank and Gaza | 59.8 | 54.2 | 57.0 | 5,158 | |||||
| Source: Source: World Bank and Economic no nonsense calculations. | |||||||||
| Table 2 | |||
| Education Level and Income in the United States | |||
| (Native Population) | |||
| Income | Education | ||
|---|---|---|---|
| Alabama | 48,594 | 89.6 | |
| Alaska | 77,385 | 99.2 | |
| Arizona | 58,384 | 99.5 | |
| Arkansas | 45,826 | 87.3 | |
| California | 76,127 | 106.5 | |
| Colorado | 70,831 | 113.0 | |
| Connecticut | 78,218 | 111.3 | |
| Delaware | 65,331 | 98.4 | |
| District of Columbia | 83,361 | 141.0 | |
| Florida | 54,944 | 97.5 | |
| Georgia | 55,713 | 97.2 | |
| Hawaii | 79,606 | 103.9 | |
| Idaho | 53,727 | 95.5 | |
| Illinois | 64,304 | 104.0 | |
| Indiana | 54,714 | 90.9 | |
| Iowa | 59,149 | 95.0 | |
| Kansas | 58,214 | 102.4 | |
| Kentucky | 48,505 | 88.5 | |
| Louisiana | 48,097 | 86.5 | |
| Maine | 55,643 | 98.2 | |
| Maryland | 82,365 | 111.4 | |
| Massachusetts | 79,977 | 116.8 | |
| Michigan | 54,775 | 95.7 | |
| Minnesota | 69,652 | 104.7 | |
| Mississippi | 43,499 | 86.1 | |
| Missouri | 53,656 | 95.1 | |
| Montana | 52,608 | 98.6 | |
| Nebraska | 60,325 | 100.6 | |
| Nevada | 59,626 | 94.1 | |
| New Hampshire | 74,468 | 105.6 | |
| New Jersey | 81,920 | 107.8 | |
| New Mexico | 49,611 | 97.7 | |
| New York | 68,280 | 109.3 | |
| North Carolina | 52,808 | 97.5 | |
| North Dakota | 64,236 | 95.1 | |
| Ohio | 54,574 | 93.3 | |
| Oklahoma | 52,007 | 91.0 | |
| Oregon | 60,113 | 103.8 | |
| Pennsylvania | 59,710 | 96.4 | |
| Rhode Island | 66,493 | 104.4 | |
| South Carolina | 51,191 | 93.1 | |
| South Dakota | 56,992 | 94.7 | |
| Tennessee | 51,133 | 91.3 | |
| Texas | 62,577 | 97.3 | |
| Utah | 70,210 | 104.7 | |
| Vermont | 60,343 | 106.4 | |
| Virginia | 70,815 | 108.3 | |
| Washington | 70,793 | 105.5 | |
| West Virginia | 44,808 | 82.9 | |
| Wisconsin | 59,540 | 96.5 | |
| Wyoming | 62,725 | 96.0 | |
| United States | 60,968 | 100.0 | |
| Source: U.S. Census Bureau and Economic no nonsense calculations. | |||
Education Levels
January 26, 2020
It is difficult to determine what the level of formal education on an individual is. It is more difficult on a country. Nonetheless an attempt has been made using the latest available data at www.worldbank.org. This level of formal education refers to the average education endowment of the population in terms of quantity rather than quality. To construct the scale a larger relative value is given to higher levels of formal education. To conduct the estimates 45 points are assigned to graduate degrees, 25 to bachelor's, 25 to associate's plus high school and 5 to less than high school. Then a base country is chosen, the United States, and a value of 100 is calculated on its educational level becoming the benchmark to compare other countries with. This produces the scalars necessary to standardize the level in each country.
On this small sample of 45 countries the United States compares favorably (Table 1). The sample is reduced because the data is not available in many cases and in others due to significant inconsistencies. The results seem to be in line with conventional thought in the sense that a wealthier country can afford more education or conversely that a "better" educated population leads to a relatively more affluent one. The correlation coefficient for this sample of countries is 0.76. Until now, the main inputs of production are labor and capital. More education should lead to an enhanced human capital stock and a higher level of output. This is confirmed by the close correlation between education and real income, whether at the individual or aggregate levels. Technology really is how labor is able to transform or use available resources in a more productive way.
The level of education was also calculated for every state using the same methodology. The highest educational level is observed in the District of Columbia. This is largely because is a city where there is a larger concentration of highly educated residents when compared to other areas and the location of the main Executive, Judicial and Legislative institutions that require exceptionally skilled workers.
Earnings seem to reflect the situation of significant remuneration difference in accordance with the type of field selected. The American Community Survey estimates that the median earnings of the male population 25 years and over were 42% larger than those of females, confirming that the disparity in earnings between females and males could be related to the type of educational field chosen.
All the states are above the average 69 level of the country sample although there are significant differences between them. The range is 32 without D.C. and 57 with it. The relationship between higher levels of education and income observed at the country level also applies at the state level (Table 2) in the United States. In effect, there is a positive correlation coefficient of 0.79 between the two variables. There can be other factors correlated with income but education is closely associated with it. However, the question may be asked again regarding whether high income levels lead to more education or the opposite; if better and more formal education lead to greater productivity and earnings. The answer seems clear.