
My contention is this: those nations with high overall fertility despite low teen fertility rates indicate an ideological or operational pro-natalist cultural stance. That means that mature adult women in marriages are presumably having many children. The high teen fertility rates in Bangladesh vis-a-vis Pakistan is probably simply due to lower aggregate development (Pakistan is still higher up on the HDI ranking, though the gap is closing).
Below are some charts. First, a plot with lines of best fit (as generated by R’s loess function). Then, absolute deviations from the line of best fit as a function of fertility. Also, percentage deviations from the line of best fit as a function of fertility. I provide the weighted trend line, but rely on the unweighted fit for the rest of the charts.
[nggallery id=28]
Next, let’s compare percentage and absolute deviation from the trend line on the same plot.
[nggallery id=29]
Finally, a table with the “top 15.”
| Country | Teen births/1,000 | TFR | Population | Deviation | % Deviation |
| Top 15 absolute deviation above the trend line | |||||
| Nicaragua | 112.09 | 2.72 | 5667325 | 61.11 | 54.52 |
| Dominican Republic | 108.18 | 2.65 | 9952711 | 58.93 | 54.48 |
| Brazil | 75.07 | 1.88 | 191971506 | 45.83 | 61.05 |
| Nepal | 98.51 | 2.9 | 28809526 | 44 | 44.67 |
| Venezuela | 89.67 | 2.54 | 27935000 | 43.28 | 48.27 |
| Cape Verde | 93.36 | 2.73 | 498672 | 42.15 | 45.14 |
| El Salvador | 82.22 | 2.32 | 6133910 | 41.28 | 50.2 |
| Ecuador | 82.6 | 2.56 | 13481424 | 35.69 | 43.21 |
| Costa Rica | 66.9 | 1.96 | 4519126 | 35.47 | 53.02 |
| Honduras | 92.26 | 3.26 | 7318789 | 35.47 | 38.44 |
| Panama | 81.95 | 2.55 | 3398823 | 35.3 | 43.07 |
| Jamaica | 76.62 | 2.39 | 2687200 | 33.94 | 44.3 |
| Gabon | 88.6 | 3.31 | 1448159 | 31.68 | 35.76 |
| Colombia | 73.75 | 2.43 | 45012096 | 30.13 | 40.85 |
| Mexico | 64.33 | 2.1 | 106350433.7 | 29.21 | 45.4 |
| Top 15 percentage deviation above the trend line | |||||
| Brazil | 75.07 | 1.88 | 191971506 | 45.83 | 61.05 |
| Cuba | 45.36 | 1.51 | 11204735 | 26.13 | 57.6 |
| Bulgaria | 41.6 | 1.48 | 7623395 | 23.18 | 55.71 |
| Nicaragua | 112.09 | 2.72 | 5667325 | 61.11 | 54.52 |
| Dominican Republic | 108.18 | 2.65 | 9952711 | 58.93 | 54.48 |
| Barbados | 42.75 | 1.53 | 255203 | 22.97 | 53.74 |
| Costa Rica | 66.9 | 1.96 | 4519126 | 35.47 | 53.02 |
| Georgia | 44.34 | 1.58 | 4307011 | 23.2 | 52.33 |
| Romania | 30.68 | 1.35 | 21513622 | 15.69 | 51.14 |
| El Salvador | 82.22 | 2.32 | 6133910 | 41.28 | 50.2 |
| Puerto Rico | 52.72 | 1.8 | 3954553 | 25.63 | 48.61 |
| Chile | 59.42 | 1.93 | 16803952 | 28.81 | 48.49 |
| Venezuela | 89.67 | 2.54 | 27935000 | 43.28 | 48.27 |
| Mauritius | 39.77 | 1.58 | 1268854 | 18.63 | 46.86 |
| Uruguay | 60.86 | 2.01 | 3334052 | 28.08 | 46.14 |
| Top 15 absolute deviation below the trend line | |||||
| Libya | 3.11 | 2.7 | 6294181 | -47.39 | -1523.69 |
| Oman | 10.39 | 3.05 | 2785361 | -45.54 | -438.3 |
| Israel | 14.15 | 2.96 | 7308800 | -41.07 | -290.26 |
| Djibouti | 22.51 | 3.9 | 849245 | -39.33 | -174.7 |
| Samoa | 26.77 | 3.95 | 178869 | -36.17 | -135.12 |
| Algeria | 7.25 | 2.36 | 34373426 | -34.7 | -478.63 |
| Malaysia | 12.66 | 2.56 | 27014337 | -34.25 | -270.55 |
| Uzbekistan | 12.83 | 2.56 | 27313700 | -34.08 | -265.64 |
| Micronesia | 24.67 | 3.57 | 110414 | -33.15 | -134.39 |
| Jordan | 24.33 | 3.49 | 5812000 | -33.11 | -136.09 |
| Saudi Arabia | 25.81 | 3.12 | 24807000 | -30.5 | -118.18 |
| Tajikistan | 28.07 | 3.41 | 6836083 | -29.1 | -103.68 |
| Qatar | 15.81 | 2.41 | 1280862 | -27.34 | -172.93 |
| Tunisia | 6.88 | 2.06 | 10327800 | -27.21 | -395.56 |
| France | 6.76 | 2 | 62277432 | -25.75 | -380.91 |
| Top 15 percentage deviation below the trend line | |||||
| Country | Teen births/1,000 | TFR | Population | Deviation | % Deviation |
| Libya | 3.11 | 2.7 | 6294181 | -47.39 | -1523.69 |
| Algeria | 7.25 | 2.36 | 34373426 | -34.7 | -478.63 |
| Oman | 10.39 | 3.05 | 2785361 | -45.54 | -438.3 |
| Denmark | 5.92 | 1.89 | 5493621 | -23.59 | -398.55 |
| Tunisia | 6.88 | 2.06 | 10327800 | -27.21 | -395.56 |
| France | 6.76 | 2 | 62277432 | -25.75 | -380.91 |
| Slovenia | 4.84 | 1.53 | 2021316 | -14.94 | -308.59 |
| Sweden | 7.58 | 1.91 | 9219637 | -22.48 | -296.58 |
| Israel | 14.15 | 2.96 | 7308800 | -41.07 | -290.26 |
| Norway | 8.39 | 1.96 | 4768212 | -23.04 | -274.57 |
| Malaysia | 12.66 | 2.56 | 27014337 | -34.25 | -270.55 |
| Uzbekistan | 12.83 | 2.56 | 27313700 | -34.08 | -265.64 |
| Belgium | 7.6 | 1.82 | 10708433 | -20.02 | -263.45 |
| Italy | 4.8 | 1.41 | 59832179 | -11.76 | -245 |
| Switzerland | 5.44 | 1.48 | 7647675 | -12.98 | -238.69 |
To restate: my assertion is that nations with a high TFR despite low birth rates in the 15-19 age range indicate a realized preference for large families. This seems to be the class that Israel, Rwanda, and many Middle Eastern nations fall into. Some European nations, such as France, have a higher TFR in relation to what they’re teen birth rates would predict. This is just a function partly of very low teen birth rates. But in the case of France it is probably a function of moderate pro-natalism.
In the other class you have many Latin American nations, whose fertility is modest, but teen birth rates are very high. I think this is probably a symptom of demographic structure within the population. There’s a lot of inequality and variation in economics and cultures within the societies. I think this is why a very low TFR countries such as Romania shows up: the Roma minority has a high teen birth rate. They are not numerous enough to change the average TFR much, but have shifted the teen birth rates.

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