Value |
Category |
- |
|
0 |
|
000 |
|
1 |
|
10 |
|
105 |
|
106 |
|
11 |
|
130 |
|
136 |
|
138 |
|
16 |
|
165 |
|
175 |
|
188 |
|
19 |
|
202 |
|
229 |
|
243 |
|
25 |
|
27 |
|
274 |
|
28 |
|
281 |
|
287 |
|
288 |
|
309 |
|
34 |
|
37 |
|
39 |
|
40 |
|
41 |
|
42 |
|
43 |
|
44 |
|
45 |
|
50 |
|
52 |
|
55 |
|
56 |
|
57 |
|
58 |
|
59 |
|
61 |
|
64 |
|
65 |
|
67 |
|
68 |
|
7 |
|
70 |
|
72 |
|
73 |
|
75 |
|
77 |
|
79 |
|
80 |
|
83 |
|
888 |
|
95 |
|
96 |
|
97 |
|
ABOPITO |
|
AHHLA |
|
ARAIN |
|
ARIAN |
|
ARINI |
|
BACHRA |
|
BAGRI |
|
BALADI |
|
BALOCH |
|
BEHEL |
|
BEROHI |
|
BHABUR |
|
BHAMBRO |
|
BHATI |
|
BHAYA |
|
BHEEL |
|
BHEL |
|
BHIL |
|
BLOCH |
|
BROHI |
|
BURDI |
|
CHAKRANI |
|
CHAND |
|
CHANDIO |
|
CHUTTO |
|
DACHAR |
|
DAKHA |
|
DALWARI |
|
DARA |
|
DARS |
|
GAGO |
|
HAKSRA |
|
HINGORA |
|
JUNEJO |
|
KALO |
|
KAPRI |
|
KEERIO |
|
KERIA |
|
KHACHI |
|
KHASHEHEL |
|
KHASKHELI |
|
KHOSA |
|
KHUMAN |
|
KHUSHIK |
|
KOHLI |
|
KOLHI |
|
KOLI |
|
KOMBHAR |
|
KOREJO |
|
KUNDHAN |
|
LAGHARI |
|
LAKHA |
|
LASHARI |
|
LHND |
|
LORI |
|
MACHI |
|
MAGDAR |
|
MAGHIR |
|
MAGNAM |
|
MAGWAR |
|
MALAH |
|
MALIK |
|
MALLAH |
|
MANGHAR |
|
MANGRIO |
|
MANGWAR |
|
MARI |
|
MATLO |
|
MEGWAR |
|
MEHAR |
|
MEMON |
|
MENGHWAR |
|
MUSLIM |
|
NOHANI |
|
NOHRI |
|
PAHORE |
|
PANWAR |
|
PATHAN |
|
PERU |
|
PHAHARR 77 |
|
PUNJABI |
|
RABARI |
|
RAHH |
|
RAJAN |
|
RAJAR |
|
RAJARD |
|
RAJPOOT |
|
RAJPOT |
|
RAJPUT |
|
RIND |
|
SAYAD |
|
SHAH |
|
SHAR |
|
SOLANGI |
|
SOMRA |
|
SOOMRA |
|
SOOMRO |
|
SYED |
|
TALPUR |
|
THAIM |
|
TURK |
|
WARIYAH |
|
WARYAH |
|
WASAN |
|
ZARDARI |
|
boohi |
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.