Dear Statalist

I have a dataset that include 179 countries. However, i only want to keep 51 of them (Subsaharan Africa). When i run the "keep if var == ..." im not able to run it with all the countries at once. Is there an efficient way to only keep the 51 countries?
Dataex:
Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input str32 country_name double(country_id year v2csreprss v2csantimv)
"Mexico"                     3 2020   1.09 -1.512
"Suriname"                   4 2020  1.935    -.6
"Sweden"                     5 2020  3.085  -.769
"Switzerland"                6 2020  2.812 -2.439
"Ghana"                      7 2020  2.012  -.387
"South Africa"               8 2020  1.241  -.306
"Japan"                      9 2020   2.92 -1.899
"Burma/Myanmar"             10 2020  1.199   .294
"Russia"                    11 2020  -.562  -.157
"Albania"                   12 2020  1.359   .343
"Egypt"                     13 2020 -1.355  -.233
"Yemen"                     14 2020   -.87   .753
"Colombia"                  15 2020  1.171   .559
"Poland"                    17 2020   .775      0
"Brazil"                    19 2020  1.351  -.334
"United States of America"  20 2020  1.841   .016
"Portugal"                  21 2020  2.821  -.498
"El Salvador"               22 2020   .539 -1.337
"Bangladesh"                24 2020  -.233   -1.3
"Bolivia"                   25 2020   .375  1.197
"Haiti"                     26 2020   .109  1.404
"Honduras"                  27 2020  1.798   .028
"Mali"                      28 2020   .943  1.579
"Pakistan"                  29 2020  -.201  -.079
"Peru"                      30 2020  1.649  -.763
"Senegal"                   31 2020  1.696   .202
"South Sudan"               32 2020  -.814   .817
"Sudan"                     33 2020   .765  -.301
"Vietnam"                   34 2020  -.737  -.605
"Afghanistan"               36 2020  1.358   .975
"Argentina"                 37 2020   1.89  -.465
"Ethiopia"                  38 2020   .517  -.366
"India"                     39 2020 -1.026   .048
"Kenya"                     40 2020   .352 -1.189
"North Korea"               41 2020 -3.705  -2.65
"South Korea"               42 2020  2.537 -1.308
"Kosovo"                    43 2020  1.509   -.33
"Lebanon"                   44 2020   .737  1.381
"Nigeria"                   45 2020   .556  1.969
"Philippines"               46 2020   .227   .734
"Tanzania"                  47 2020   .396  -.807
"Taiwan"                    48 2020  2.251  -.362
"Thailand"                  49 2020 -1.462   2.75
"Uganda"                    50 2020 -1.079   -.36
"Venezuela"                 51 2020 -1.045   .814
"Benin"                     52 2020    .86  -.135
"Bhutan"                    53 2020  1.187 -2.214
"Burkina Faso"              54 2020  1.619   .653
"Cambodia"                  55 2020  -1.14 -1.056
"Indonesia"                 56 2020   .934   .059
"Mozambique"                57 2020   .356  -.205
"Nepal"                     58 2020  1.207  -.419
"Nicaragua"                 59 2020 -1.571   .113
"Niger"                     60 2020   .739   .712
"Zambia"                    61 2020   .276  -.321
"Zimbabwe"                  62 2020 -1.035   .958
"Guinea"                    63 2020   .153  2.336
"Ivory Coast"               64 2020   .544   .647
"Mauritania"                65 2020   .202   .619
"Canada"                    66 2020  2.048   -.56
"Australia"                 67 2020  1.864 -2.251
"Botswana"                  68 2020  2.159  -.888
"Burundi"                   69 2020 -1.849  -.277
"Cape Verde"                70 2020  2.886   -1.6
"Central African Republic"  71 2020  -.505  1.088
"Chile"                     72 2020  1.469  -.713
"Costa Rica"                73 2020  2.468 -1.278
"Timor-Leste"               74 2020  2.323   .095
"Ecuador"                   75 2020   .348  -.593
"France"                    76 2020  1.422  -.306
"Germany"                   77 2020  3.013  -.911
"Guatemala"                 78 2020   .477  -.682
"Iran"                      79 2020 -1.574   .186
"Iraq"                      80 2020  -.099  1.069
"Ireland"                   81 2020  2.977 -1.236
"Italy"                     82 2020  2.755 -1.263
"Jordan"                    83 2020   .183 -1.207
"Latvia"                    84 2020   2.64  -.722
"Lesotho"                   85 2020  1.443   -1.2
"Liberia"                   86 2020  1.911  -.459
"Malawi"                    87 2020  1.363  -.523
"Maldives"                  88 2020  1.405    -.4
"Mongolia"                  89 2020  1.333 -2.206
"Morocco"                   90 2020  -.528   .475
"Netherlands"               91 2020   1.99  -.699
"Panama"                    92 2020  1.716 -1.086
"Papua New Guinea"          93 2020  1.971 -1.476
"Qatar"                     94 2020  -.508 -3.244
"Sierra Leone"              95 2020  2.166  -.955
"Spain"                     96 2020  2.923   .014
"Syria"                     97 2020 -1.961   .792
"Tunisia"                   98 2020  1.955   .394
"Turkey"                    99 2020 -1.521   .369
"Ukraine"                  100 2020  1.744  -.093
"United Kingdom"           101 2020  2.222  -.924
"Uruguay"                  102 2020  1.261 -2.131
"Algeria"                  103 2020 -1.149  1.321
"Angola"                   104 2020   -.19  -.001
"Armenia"                  105 2020  2.324  -.527
"Azerbaijan"               106 2020 -1.271  -.534
end

Kind Regards
Carlos