| Value |
Category |
| 001 |
Affar |
| 002 |
Agew-Awingi |
| 003 |
Agew-Kamyr |
| 004 |
Amara |
| 005 |
Anyiwak |
| 006 |
Arbore |
| 007 |
Argoba |
| 008 |
Arri |
| 009 |
Basketo |
| 010 |
Bench |
| 011 |
She |
| 012 |
Mer |
| 013 |
Burji |
| 014 |
Chara |
| 015 |
Dasenech |
| 016 |
Dime |
| 017 |
Dizi |
| 018 |
Felasha |
| 019 |
Ganjule |
| 020 |
Gedeo |
| 021 |
Gewada |
| 022 |
Gidole |
| 023 |
Guagu |
| 024 |
Gumuz |
| 025 |
Silte |
| 026 |
Sodo Guragie |
| 027 |
Sebatbet-Guragie |
| 028 |
Hadiya |
| 029 |
Mareko |
| 030 |
Hamer |
| 031 |
Harari |
| 032 |
Jebelawi |
| 033 |
Fadashi |
| 034 |
Gamili |
| 035 |
Gebato |
| 036 |
Kechama |
| 037 |
Kefa |
| 038 |
Mocha |
| 039 |
Kemant |
| 040 |
Kembata |
| 041 |
Alaba |
| 042 |
Kebena |
| 043 |
Timbaro |
| 044 |
Kewama |
| 045 |
Koma |
| 046 |
Konso |
| 047 |
Koyra |
| 048 |
Kunama |
| 049 |
Mabaan |
| 050 |
Mao |
| 051 |
Me'En |
| 052 |
Bodi |
| 053 |
Male |
| 054 |
Mesengo |
| 055 |
Mossiya |
| 056 |
Mursi |
| 057 |
Nao |
| 058 |
Nuwer |
| 059 |
Nyangatom |
| 060 |
Oromo |
| 061 |
Werji |
| 062 |
Oyda |
| 063 |
Saho |
| 064 |
Sheko |
| 065 |
Shinasha |
| 066 |
Shita |
| 067 |
Sidama |
| 068 |
Somali |
| 069 |
Suri |
| 070 |
Tigre |
| 071 |
Tsamay |
| 072 |
Welaita |
| 073 |
Dorzie |
| 074 |
Gamo |
| 075 |
Goffa |
| 076 |
Konta |
| 077 |
Kulo |
| 078 |
Mello |
| 079 |
Weyito |
| 080 |
Yemsa |
| 081 |
Zeysie |
| 082 |
Zergula |
| 090 |
Other ethnicity nationality |
| 091 |
From different ethnic groups |
| 093 |
Eritreans |
| 094 |
Djebutians |
| 095 |
Somalis |
| 096 |
Kenyans |
| 097 |
Sudanese |
| 098 |
Other foreigners |
| 998 |
Unknown |
| 999 |
NIU (not in universe) |
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.