Return aggregation of PIP statistics
Usage
pip_group(
country = NULL,
year = NULL,
povline = 2.15,
popshare = NULL,
group_by = c("wb", "none"),
fill_gaps = FALSE,
welfare_type = c("all", "consumption", "income"),
reporting_level = c("all", "national", "rural", "urban"),
additional_ind = FALSE,
release_version = NULL,
ppp_version = NULL,
version = NULL
)Arguments
- country
(
character()) countries for which statistics are to be computed, specified as ISO3 codes. DefaultNULL.- year
(
character()|numeric()) year(s) for which statistics are to be computed, specified as YYYY. DefaultNULL.- povline
(
numeric(1)) poverty line to be used to compute poverty mesures. Poverty lines are only accepted up to 3 decimals. Default2.15.(
numeric(1)) proportion of the population living below the poverty line. Will be ignored if povline is specified. DefaultNULL.- group_by
(
character(1)) aggregate results by pre-defined sub-groups. Default"wb".- fill_gaps
(
logical(1)) whether to fill gaps in the data. DefaultFALSE.- welfare_type
(
character(1)) type of welfare measure to be used. Default"all".- reporting_level
(
character(1)) level of reporting for the statistics. Default"all".- additional_ind
(
logical(1)) whether to include additional indicators. DefaultFALSE.- release_version
(
character(1)) version of the data release in YYYYMMDD format. DefaultNULL.- ppp_version
(
character(1)|numeric(1)) version of the data. DefaultNULL.- version
(
character(1)) version of the data. DefaultNULL.
Value
A data.frame() with the requested statistics.
See also
Other poverty and inequality statistics:
pip_aux(),
pip_citation(),
pip_data(),
pip_health_check(),
pip_info(),
pip_valid_params(),
pip_versions()
Examples
# \donttest{
pip_group(c("AFE", "LAC"))
#> region_name region_code reporting_year reporting_pop
#> 1 Eastern and Southern Africa AFE 1981 238043099
#> 2 Eastern and Southern Africa AFE 1982 245822010
#> 3 Eastern and Southern Africa AFE 1983 253644643
#> 4 Eastern and Southern Africa AFE 1984 261458202
#> 5 Eastern and Southern Africa AFE 1985 269450407
#> 6 Eastern and Southern Africa AFE 1986 277621771
#> 7 Eastern and Southern Africa AFE 1987 286067346
#> 8 Eastern and Southern Africa AFE 1988 294498625
#> 9 Eastern and Southern Africa AFE 1989 302939121
#> 10 Eastern and Southern Africa AFE 1990 311748681
#> 11 Eastern and Southern Africa AFE 1991 320442961
#> 12 Eastern and Southern Africa AFE 1992 329082707
#> 13 Eastern and Southern Africa AFE 1993 338324002
#> 14 Eastern and Southern Africa AFE 1994 347441809
#> 15 Eastern and Southern Africa AFE 1995 356580375
#> 16 Eastern and Southern Africa AFE 1996 366138524
#> 17 Eastern and Southern Africa AFE 1997 375646235
#> 18 Eastern and Southern Africa AFE 1998 385505757
#> 19 Eastern and Southern Africa AFE 1999 395750933
#> 20 Eastern and Southern Africa AFE 2000 406156661
#> 21 Eastern and Southern Africa AFE 2001 416807868
#> 22 Eastern and Southern Africa AFE 2002 427820358
#> 23 Eastern and Southern Africa AFE 2003 439173286
#> 24 Eastern and Southern Africa AFE 2004 450928044
#> 25 Eastern and Southern Africa AFE 2005 463076637
#> 26 Eastern and Southern Africa AFE 2006 475606210
#> 27 Eastern and Southern Africa AFE 2007 488580707
#> 28 Eastern and Southern Africa AFE 2008 502070763
#> 29 Eastern and Southern Africa AFE 2009 516003448
#> 30 Eastern and Southern Africa AFE 2010 530308387
#> 31 Eastern and Southern Africa AFE 2011 544737983
#> 32 Eastern and Southern Africa AFE 2012 559609961
#> 33 Eastern and Southern Africa AFE 2013 575202699
#> 34 Eastern and Southern Africa AFE 2014 590968990
#> 35 Eastern and Southern Africa AFE 2015 607123269
#> 36 Eastern and Southern Africa AFE 2016 623369401
#> 37 Eastern and Southern Africa AFE 2017 640058741
#> 38 Eastern and Southern Africa AFE 2018 657801085
#> 39 Eastern and Southern Africa AFE 2019 675950189
#> 40 Eastern and Southern Africa AFE 2020 694446100
#> 41 Eastern and Southern Africa AFE 2021 713090928
#> 42 Eastern and Southern Africa AFE 2022 731821393
#> 43 Eastern and Southern Africa AFE 2023 750503764
#> 44 Eastern and Southern Africa AFE 2024 769294967
#> 45 Eastern and Southern Africa AFE 2025 788858910
#> 46 Latin America & Caribbean LAC 1981 363707276
#> 47 Latin America & Caribbean LAC 1982 371611051
#> 48 Latin America & Caribbean LAC 1983 379654360
#> 49 Latin America & Caribbean LAC 1984 387785677
#> 50 Latin America & Caribbean LAC 1985 395922883
#> 51 Latin America & Caribbean LAC 1986 404042411
#> 52 Latin America & Caribbean LAC 1987 412162093
#> 53 Latin America & Caribbean LAC 1988 420314572
#> 54 Latin America & Caribbean LAC 1989 428474147
#> 55 Latin America & Caribbean LAC 1990 436660341
#> 56 Latin America & Caribbean LAC 1991 444793033
#> 57 Latin America & Caribbean LAC 1992 452872282
#> 58 Latin America & Caribbean LAC 1993 460906825
#> 59 Latin America & Caribbean LAC 1994 468862052
#> 60 Latin America & Caribbean LAC 1995 476796636
#> 61 Latin America & Caribbean LAC 1996 484667880
#> 62 Latin America & Caribbean LAC 1997 492482495
#> 63 Latin America & Caribbean LAC 1998 500308570
#> 64 Latin America & Caribbean LAC 1999 508063703
#> 65 Latin America & Caribbean LAC 2000 515590262
#> 66 Latin America & Caribbean LAC 2001 522877879
#> 67 Latin America & Caribbean LAC 2002 529982351
#> 68 Latin America & Caribbean LAC 2003 536918721
#> 69 Latin America & Caribbean LAC 2004 543716438
#> 70 Latin America & Caribbean LAC 2005 550371741
#> 71 Latin America & Caribbean LAC 2006 557003859
#> 72 Latin America & Caribbean LAC 2007 563605218
#> 73 Latin America & Caribbean LAC 2008 570177672
#> 74 Latin America & Caribbean LAC 2009 576665478
#> 75 Latin America & Caribbean LAC 2010 583034181
#> 76 Latin America & Caribbean LAC 2011 589387094
#> 77 Latin America & Caribbean LAC 2012 595740249
#> 78 Latin America & Caribbean LAC 2013 602020041
#> 79 Latin America & Caribbean LAC 2014 608220429
#> 80 Latin America & Caribbean LAC 2015 614277357
#> 81 Latin America & Caribbean LAC 2016 620192706
#> 82 Latin America & Caribbean LAC 2017 625934025
#> 83 Latin America & Caribbean LAC 2018 631410622
#> 84 Latin America & Caribbean LAC 2019 636578789
#> 85 Latin America & Caribbean LAC 2020 641135529
#> 86 Latin America & Caribbean LAC 2021 644892429
#> 87 Latin America & Caribbean LAC 2022 648804795
#> 88 Latin America & Caribbean LAC 2023 653324554
#> 89 Latin America & Caribbean LAC 2024 657893350
#> 90 Latin America & Caribbean LAC 2025 662317635
#> poverty_line headcount poverty_gap poverty_severity watts mean
#> 1 2.15 0.43340749 0.171934034 0.090856935 0.25858601 4.749965
#> 2 2.15 0.43821253 0.175573474 0.093475701 0.26543299 4.686368
#> 3 2.15 0.44491739 0.180465027 0.097131387 0.27517446 4.607832
#> 4 2.15 0.45421984 0.185406557 0.100150094 0.28362496 4.551052
#> 5 2.15 0.46282488 0.189705530 0.102655394 0.29039398 4.481283
#> 6 2.15 0.45620201 0.186632449 0.101076541 0.28613490 4.506459
#> 7 2.15 0.45091152 0.183065780 0.098495012 0.27904157 4.559732
#> 8 2.15 0.44949796 0.181434659 0.097070203 0.27528249 4.601891
#> 9 2.15 0.45084347 0.182404642 0.097605302 0.27657828 4.608459
#> 10 2.15 0.46030225 0.187431108 0.100769334 0.28490919 4.548679
#> 11 2.15 0.47725146 0.198304399 0.107673331 0.30291437 4.456959
#> 12 2.15 0.49222922 0.207486276 0.113634952 0.31847846 4.319305
#> 13 2.15 0.50421770 0.215507932 0.119327710 0.33282487 4.050096
#> 14 2.15 0.50841273 0.222261773 0.125106309 0.34708586 3.964155
#> 15 2.15 0.50058166 0.217145389 0.121896335 0.33861137 4.046432
#> 16 2.15 0.48934248 0.211607474 0.118658808 0.32966323 4.112409
#> 17 2.15 0.48774608 0.212263936 0.119765844 0.33217439 4.116267
#> 18 2.15 0.48828117 0.213055162 0.120643164 0.33428381 4.053095
#> 19 2.15 0.48510750 0.212588971 0.121113767 0.33528398 3.975389
#> 20 2.15 0.48203845 0.215249754 0.124400862 0.34324609 3.928387
#> 21 2.15 0.47953415 0.214276793 0.124146527 0.34270808 3.915873
#> 22 2.15 0.48529411 0.212043596 0.121339646 0.33701591 3.930173
#> 23 2.15 0.47607489 0.204438386 0.115935411 0.32320136 3.965661
#> 24 2.15 0.44224748 0.189884646 0.108168519 0.30086587 4.206457
#> 25 2.15 0.42151876 0.180567241 0.102649740 0.28540499 4.415301
#> 26 2.15 0.40240367 0.169469349 0.094929432 0.26489940 4.671371
#> 27 2.15 0.38948954 0.160366974 0.087930219 0.24679614 4.743310
#> 28 2.15 0.37838379 0.152126475 0.081796896 0.23111185 4.828392
#> 29 2.15 0.37593498 0.151931847 0.082105920 0.23178233 4.815238
#> 30 2.15 0.36253041 0.143402674 0.076115331 0.21629141 4.946660
#> 31 2.15 0.35132651 0.136842404 0.071966707 0.20545487 5.023404
#> 32 2.15 0.34322170 0.131694622 0.068522091 0.19671527 5.037383
#> 33 2.15 0.33864194 0.128550324 0.066538588 0.19152274 5.054164
#> 34 2.15 0.33776004 0.128203128 0.066304002 0.19089153 5.062764
#> 35 2.15 0.34086947 0.129860176 0.067280140 0.19351648 5.045060
#> 36 2.15 0.34872619 0.134136291 0.069879552 0.20051865 4.987404
#> 37 2.15 0.35705284 0.137868079 0.072171874 0.20668248 4.903704
#> 38 2.15 0.36190938 0.140180808 0.073663666 0.21059672 4.838839
#> 39 2.15 0.36681789 0.142986516 0.075539118 0.21544714 4.753060
#> 40 2.15 0.38170585 0.151567138 0.081150500 0.23025775 4.529296
#> 41 2.15 0.37867799 0.148938052 0.079414591 0.22571876 4.539248
#> 42 2.15 0.37211527 0.145645223 0.077307330 0.22009038 4.574368
#> 43 2.15 0.36761984 0.142834949 0.075411364 0.21513504 4.559430
#> 44 2.15 0.36875900 0.143565498 0.076030838 0.21675154 4.533114
#> 45 2.15 0.36307844 0.141434976 0.075002113 0.21371013 4.576789
#> 46 2.15 0.12758111 0.049459160 0.027767321 0.07971246 12.685808
#> 47 2.15 0.13347845 0.051361425 0.028699650 0.08247968 12.564294
#> 48 2.15 0.15872419 0.061639716 0.034206873 0.09834164 11.729736
#> 49 2.15 0.15511219 0.059534865 0.033043340 0.09519231 11.816001
#> 50 2.15 0.14200873 0.054793986 0.030590110 0.08810016 11.870391
#> 51 2.15 0.10084309 0.039090730 0.022569992 0.06481986 14.477099
#> 52 2.15 0.12486029 0.049421178 0.028333168 0.08103435 13.143611
#> 53 2.15 0.13173340 0.054270677 0.031846061 0.09027199 12.896922
#> 54 2.15 0.12725453 0.052807886 0.031145174 0.08831886 13.138433
#> 55 2.15 0.13822575 0.055769636 0.031736232 0.09041367 11.991365
#> 56 2.15 0.13265488 0.053644369 0.030939551 0.08795731 11.814562
#> 57 2.15 0.13244217 0.054638398 0.032176633 0.09103167 11.460216
#> 58 2.15 0.13245127 0.054322383 0.031909952 0.09050038 12.228710
#> 59 2.15 0.12736623 0.052118446 0.030683918 0.08734684 12.623060
#> 60 2.15 0.11795163 0.047767824 0.027942746 0.07981077 13.117059
#> 61 2.15 0.13025346 0.055149877 0.033076979 0.09347332 12.952346
#> 62 2.15 0.12907547 0.054294911 0.032318246 0.09130682 13.258961
#> 63 2.15 0.12751906 0.053697954 0.031891261 0.09024368 13.528425
#> 64 2.15 0.12977511 0.054683928 0.032694675 0.09254658 13.076648
#> 65 2.15 0.11849733 0.050652825 0.030758173 0.08677293 13.727282
#> 66 2.15 0.11580028 0.048188424 0.028300881 0.07999753 13.778011
#> 67 2.15 0.10702005 0.041729366 0.023337784 0.06691386 13.615806
#> 68 2.15 0.10377128 0.040878110 0.023128326 0.06606511 13.703200
#> 69 2.15 0.09455180 0.036613282 0.020472345 0.05872706 13.974827
#> 70 2.15 0.09041813 0.035731697 0.020271081 0.05777076 14.768119
#> 71 2.15 0.07459130 0.028837648 0.016080192 0.04603129 15.851153
#> 72 2.15 0.06347560 0.023555592 0.012839418 0.03714898 16.446853
#> 73 2.15 0.05739372 0.021046851 0.011339549 0.03297398 16.995347
#> 74 2.15 0.05495404 0.019698157 0.010455045 0.03062429 16.993047
#> 75 2.15 0.04853226 0.017481788 0.009306949 0.02725444 17.582610
#> 76 2.15 0.04425843 0.016215790 0.008704368 0.02540209 18.312843
#> 77 2.15 0.04116925 0.014668458 0.007687096 0.02268364 19.032441
#> 78 2.15 0.03672052 0.012500528 0.006497476 0.01933329 19.522933
#> 79 2.15 0.03426283 0.011415129 0.005961698 0.01782960 19.527259
#> 80 2.15 0.03166772 0.010249389 0.005080003 0.01541882 19.937569
#> 81 2.15 0.03424041 0.011500410 0.005791601 0.01733837 20.110826
#> 82 2.15 0.03482042 0.011790789 0.005919324 0.01776856 20.262932
#> 83 2.15 0.03432246 0.011716158 0.005899791 0.01763223 20.456772
#> 84 2.15 0.03510453 0.012025347 0.006128680 0.01825649 20.495733
#> 85 2.15 0.03153234 0.011170711 0.006028925 0.01770432 19.391203
#> 86 2.15 0.03679714 0.012645172 0.006375547 0.01902979 19.584810
#> 87 2.15 0.02842836 0.009863431 0.005134792 0.01526176 20.730196
#> 88 2.15 0.02508914 0.008866915 0.004764375 0.01401903 21.393340
#> 89 2.15 0.02471605 0.008811457 0.004744323 0.01392815 21.706600
#> 90 2.15 0.02454394 0.008746876 0.004711686 0.01381392 21.979109
#> pop_in_poverty spr pg estimate_type
#> 1 103169662 0.6065094 15.325681 projection
#> 2 107722286 0.6093514 15.584901 projection
#> 3 112850912 0.6137755 15.950515 projection
#> 4 118759502 0.6218635 16.255413 projection
#> 5 124708352 0.6277353 16.485747 projection
#> 6 126651611 0.6229176 16.367415 projection
#> 7 128991062 0.6182811 16.095038 projection
#> 8 132376532 0.6184546 15.940664 projection
#> 9 136578125 0.6201085 15.964918 projection
#> 10 143498618 0.6272347 16.253345 projection
#> 11 152931872 0.6392894 16.820852 projection
#> 12 161984126 0.6501096 17.330840 projection
#> 13 170588949 0.6568586 17.856235 actual
#> 14 176643840 0.6605470 18.358529 actual
#> 15 178497597 0.6551652 18.078346 actual
#> 16 179167135 0.6489526 17.790233 actual
#> 17 183219977 0.6495245 17.905841 projection
#> 18 188235204 0.6524412 18.020417 actual
#> 19 191981746 0.6522526 18.153056 actual
#> 20 195783128 0.6489951 18.504775 actual
#> 21 199873606 0.6448766 18.500903 actual
#> 22 207618700 0.6524805 18.352193 actual
#> 23 209079373 0.6438843 17.918977 actual
#> 24 199421791 0.6094818 17.140157 actual
#> 25 195195490 0.5931298 16.559836 actual
#> 26 191385683 0.5808191 15.719029 actual
#> 27 190297076 0.5712187 15.008785 actual
#> 28 189975437 0.5631981 14.427666 actual
#> 29 193983748 0.5601640 14.466325 actual
#> 30 192252918 0.5496669 13.915081 actual
#> 31 191380896 0.5405087 13.542848 actual
#> 32 192070281 0.5359166 13.277582 actual
#> 33 194787758 0.5315254 13.104822 actual
#> 34 199605709 0.5295755 13.066818 actual
#> 35 206949786 0.5312359 13.141451 actual
#> 36 217385237 0.5374672 13.377883 actual
#> 37 228534788 0.5422655 13.616662 actual
#> 38 238064380 0.5457029 13.783042 actual
#> 39 247950619 0.5487115 13.983763 projection
#> 40 265074138 0.5610098 14.563503 actual
#> 41 270031839 0.5613019 14.454736 actual
#> 42 272321919 0.5567246 14.244015 actual
#> 43 275900073 0.5540615 14.092019 projection
#> 44 283684442 0.5537737 14.164284 nowcast
#> 45 286417661 0.5483001 14.034081 nowcast
#> 46 46402177 0.3481803 7.497425 actual
#> 47 49602067 0.3517465 7.623677 actual
#> 48 60260331 0.3648431 8.401517 actual
#> 49 60150284 0.3621156 8.305235 actual
#> 50 56224508 0.3572308 7.954611 actual
#> 51 40744886 0.3359948 6.745903 actual
#> 52 51462680 0.3480899 7.529395 actual
#> 53 55369469 0.3478761 7.891745 actual
#> 54 54525277 0.3451173 7.818285 actual
#> 55 60357703 0.3500661 7.929936 actual
#> 56 59003965 0.3456009 7.839854 actual
#> 57 59979387 0.3451453 8.037451 actual
#> 58 61047696 0.3503307 7.986493 actual
#> 59 59717190 0.3487113 7.785102 actual
#> 60 56238940 0.3442966 7.519271 actual
#> 61 63129669 0.3520986 8.084502 actual
#> 62 63567412 0.3519357 7.901111 actual
#> 63 63798876 0.3488033 7.830460 actual
#> 64 65934021 0.3511054 7.994837 actual
#> 65 61096069 0.3451592 7.658184 actual
#> 66 60549405 0.3435557 7.299803 actual
#> 67 56718738 0.3418449 6.792013 actual
#> 68 55716743 0.3367531 6.716480 actual
#> 69 51409369 0.3301083 6.349273 actual
#> 70 49763583 0.3258097 6.155342 actual
#> 71 41547644 0.3147439 5.479650 actual
#> 72 35775180 0.3086224 5.034154 actual
#> 73 32724619 0.3023136 4.777429 actual
#> 74 31690096 0.2985083 4.658420 actual
#> 75 28295965 0.2909722 4.398511 actual
#> 76 26085350 0.2852065 4.218144 actual
#> 77 24526180 0.2845864 4.052175 actual
#> 78 22106488 0.2793164 3.859222 actual
#> 79 20839353 0.2751645 3.795360 actual
#> 80 19452763 0.2722115 3.600245 actual
#> 81 21235652 0.2739847 3.654151 actual
#> 82 21795285 0.2710610 3.624599 actual
#> 83 21671569 0.2692400 3.596558 actual
#> 84 22346802 0.2715972 3.604058 actual
#> 85 20216504 0.2576947 3.641482 actual
#> 86 23730196 0.2687202 3.678749 actual
#> 87 18444458 0.2588591 3.390942 actual
#> 88 16391352 0.2587329 3.269550 actual
#> 89 16260528 0.2582089 3.203427 nowcast
#> 90 16255883 0.2598353 3.174818 nowcast
# }