Estimating population structure using interpolation method.

Usage

estimate_pop(pop1, pop2, period)

Arguments

pop1: Population or population proportion in each age group for the start year.
pop2: Population or population proportion in each age group for the end year.
period: Vector contain the start year and end year value.

Value

A data frame contain the estimated population proportion in each year during the period with each year in one column and each age group in one row.

Examples

pop1 <- c(59546, 294129, 472511, 552549, 821119, 996436, 805635, 1004506,
          989357, 1056612, 986559, 792270, 544544, 452297, 473579, 350802,
          212614, 109598, 61990)
pop2 <- c(75641, 377276, 327116, 380338, 539034, 1158852, 1152329, 881443,
          903484, 1011164, 1238871, 1137832, 1022787, 645441, 464777,
          482941, 406144, 227977, 144526)
estimate_pop(pop1, pop2, c(2000, 2010))
#>           2000        2001        2002        2003        2004        2005
#> 1  0.005395295 0.005457142 0.005518990 0.005580837 0.005642684 0.005704531
#> 2  0.026650199 0.026984677 0.027319155 0.027653632 0.027988110 0.028322588
#> 3  0.042812889 0.041132305 0.039451722 0.037771138 0.036090554 0.034409971
#> 4  0.050064906 0.048082258 0.046099609 0.044116960 0.042134311 0.040151662
#> 5  0.074399277 0.071244888 0.068090500 0.064936112 0.061781724 0.058627336
#> 6  0.090284256 0.090469175 0.090654094 0.090839013 0.091023932 0.091208851
#> 7  0.072996315 0.074858168 0.076720020 0.078581873 0.080443726 0.082305578
#> 8  0.091015456 0.088921740 0.086828025 0.084734310 0.082640594 0.080546879
#> 9  0.089642847 0.087861628 0.086080408 0.084299189 0.082517969 0.080736750
#> 10 0.095736633 0.094202135 0.092667637 0.091133138 0.089598640 0.088064141
#> 11 0.089389328 0.090299924 0.091210519 0.092121115 0.093031710 0.093942305
#> 12 0.071785350 0.073653042 0.075520734 0.077388426 0.079256118 0.081123810
#> 13 0.049339596 0.052537209 0.055734822 0.058932435 0.062130048 0.065327661
#> 14 0.040981355 0.042014738 0.043048121 0.044081504 0.045114887 0.046148270
#> 15 0.042909657 0.042313858 0.041718058 0.041122259 0.040526459 0.039930659
#> 16 0.031785180 0.032446239 0.033107299 0.033768358 0.034429417 0.035090477
#> 17 0.019264355 0.020566929 0.021869504 0.023172078 0.024474653 0.025777227
#> 18 0.009930366 0.010749839 0.011569312 0.012388786 0.013208259 0.014027732
#> 19 0.005616739 0.006204106 0.006791472 0.007378839 0.007966205 0.008553572
#>           2006        2007        2008       2009        2010
#> 1  0.005766378 0.005828225 0.005890073 0.00595192 0.006013767
#> 2  0.028657065 0.028991543 0.029326021 0.02966050 0.029994976
#> 3  0.032729387 0.031048803 0.029368220 0.02768764 0.026007052
#> 4  0.038169013 0.036186364 0.034203715 0.03222107 0.030238418
#> 5  0.055472948 0.052318559 0.049164171 0.04600978 0.042855395
#> 6  0.091393770 0.091578689 0.091763608 0.09194853 0.092133446
#> 7  0.084167431 0.086029283 0.087891136 0.08975299 0.091614841
#> 8  0.078453164 0.076359449 0.074265733 0.07217202 0.070078303
#> 9  0.078955530 0.077174311 0.075393091 0.07361187 0.071830652
#> 10 0.086529643 0.084995145 0.083460646 0.08192615 0.080391650
#> 11 0.094852901 0.095763496 0.096674091 0.09758469 0.098495282
#> 12 0.082991503 0.084859195 0.086726887 0.08859458 0.090462271
#> 13 0.068525274 0.071722887 0.074920500 0.07811811 0.081315726
#> 14 0.047181653 0.048215036 0.049248418 0.05028180 0.051315184
#> 15 0.039334860 0.038739060 0.038143261 0.03754746 0.036951661
#> 16 0.035751536 0.036412595 0.037073655 0.03773471 0.038395773
#> 17 0.027079802 0.028382376 0.029684951 0.03098753 0.032290100
#> 18 0.014847205 0.015666679 0.016486152 0.01730563 0.018125099
#> 19 0.009140938 0.009728305 0.010315672 0.01090304 0.011490405