Statement: there was a tfr of 2.45 in the period where the imr was 43

Input Table: none

Step 1: f_select_row(row 8, row 9)
period live births per year deaths per year natural change per year cbr cdr nc tfr imr life expectancy total life expectancy males life expectancy females
1950 - 1955 2 572 000 900 000 1 672 000 44.1 15.5 28.6 6.15 135 50.9 49.2 52.6
1955 - 1960 2 918 000 947 000 1 971 000 43.2 14.0 29.1 6.15 122 53.3 51.5 55.2
1960 - 1965 3 303 000 986 000 2 317 000 42.2 12.6 29.6 6.15 109 55.7 53.8 57.6
1965 - 1970 3 330 000 998 000 2 332 000 37.0 11.1 25.9 5.38 100 57.6 55.7 59.6
1970 - 1975 3 441 000 1 014 000 2 427 000 33.7 9.9 23.8 4.72 91 59.5 57.3 61.8
1975 - 1980 3 741 000 1 043 000 2 698 000 32.5 9.0 23.5 4.31 79 61.5 59.2 63.9
1980 - 1985 3 974 000 1 064 000 2 910 000 30.8 8.2 22.6 3.8 63 63.4 60.4 66.8
1985 - 1990 3 757 000 1 055 000 2 702 000 26.3 7.4 18.9 3.1 52 65.3 61.9 69.1
1990 - 1995 3 519 000 1 058 000 2 461 000 22.6 6.8 15.8 2.6 43 67.3 63.6 71.2
1995 - 2000 3 624 000 1 086 000 2 538 000 21.5 6.5 15.1 2.45 34 69.3 65.5 73.3
2000 - 2005 3 572 000 1 147 000 2 425 000 19.8 6.4 13.4 2.25 27 70.9 67.2 74.8

Step 2: f_select_column(period, tfr, imr)
period live births per year deaths per year natural change per year cbr cdr nc tfr imr life expectancy total life expectancy males life expectancy females
1990 - 1995 3 519 000 1 058 000 2 461 000 22.6 6.8 15.8 2.6 43 67.3 63.6 71.2
1995 - 2000 3 624 000 1 086 000 2 538 000 21.5 6.5 15.1 2.45 34 69.3 65.5 73.3

Step 3: simple_query()
period tfr imr
1990 - 1995 2.6 43
1995 - 2000 2.45 34

Prompting LLM for the final answer... >>>


Prediction: NO