IOM CCCM SOMALIA MOVEMENT TREND TRACKING Baidoa: 19 – 25 January 2018 KEY MESSAGES • This week there were 2,028 new arrivals at the Baidoa checkpoints, the highest number ever recorded by MTT and Zero Exits. The upsurge in the numbers of new arrivals this week is due to the ongoing fighting in Abal village, Bakool region and the IDP eviction at the outskirts of the Somali capital, Mogadishu. • All of the new entries cited eviction from Mogadishu (54%), Insecurity (26%), lack of food (16%) and lack of access to health (4%) as the key driving factors for displacement into the IDP sites in Baidoa. • As reported in this week, (62%) of those entering came from the districts of Baidoa, (25%) from Hudur, (4%) from Qansax Dheere, (3%) from Buurhakaba District, (2%) from Dolow district, (3%) from Afgooye district and (1%) from Dinsoor district. They were heading to the IDP sites of Kormari (74%), Doolow (11%) and ADC 4 (15%) in Baidoa. MTT enumerator interviews IDPs • There were no exits recorded this week, this is attributed to the prolonged arriving in Baidoa last week. PHoto drought, and increasing insecurity at the villages of origin. credit IOM. Entries and Exits at Baidoa MTT CHeckpoints Entries Exits 2200 2028 2000 1807 1690 1686 1719 1800 1581 1600 1400 1191 1089 1200 969 10211020 996 1000 877 849 800 667 669 601 647 645 477542540499 536 498 600 398 333 313363 373 360374 400 283 256 200 0 0 0 0 0 0 0 -200 -59 -57 -38 -52 -16 -21 -52 -26 -111 -91 -112 -126 -76 -87 -107 -156 -174 -158-147-177-141 -186 -400 -261 -212 -216 -258 -376 -600 -616 -800 3 Sep 5 Oct 2 Nov 2 Jul 6 Aug - - - - -1000 - 9 Jul 16 Jul 23 Jul 30 Jul 04 Jan 18 Jan 25 Jan 21 Sep 28 Sep 17 Jun 25 Jun 20 Aug 27 Aug 16 Nov 23 Nov 30 Nov 21 Dec 28 Dec 19 Oct 26 Oct - 7 Sep 7 Dec - - - - - - - - - - - - - - - - - - - 9 Nov 14 Sep 11 Jun 13 Aug 14 Dec 12 Oct 11 Jan - - 3 -1200 - - - - - - - 4 1 3 28 Aug 10 17 24 8 5 7 29 Sep 8 27 Oct 29 12 19 6 26 Jun 31 Jul 15 22 12 19 14 21 10 17 24 15 22 5 13 20 METHODOLOGY Movement Trend Tracking (MTT) is a movement monitoring exercise that tracks people who are moving in or out of sites on a semi-permanent or permanent basis. MTT aims to gauge the pulse of movements in and out of sites in Baidoa. MTT figures should not be considered official updates to the population figures of the sites. Rather, the data represents the intentions of IDPs and points towards general trends in their movements. In Baidoa, IOM enumerators are positioned at the 3 main checkpoints in and out of town (shown on the map on the right) from 6:30am until 5:30pm, 7 days a week. From these checkpoints, the teams identify people who are moving in or out of Baidoa with luggage. Interviews are done with the individual or the head of household. MTT checkpoints around Baidoa MTT aims to complement existing information management town products on displacements and movements in Baidoa, by providing site level specific data on population movements on a regular basis, to assist agencies operating in sites and settlements with key information on: demographics of movement, area of origin, area of return/onward movement, reasons for movement and movement trends over time. IOM MTT enumerators identify new arrivals and conduct interviews with the heads of household. Photo credit IOM. 19-Jan-18 20-Jan-18 21-Jan-18 22-Jan-18 23-Jan-18 24-Jan-18 25-Jan-18 Total Balance Exit: Is family Date Entry verses Exit # Entry 58 94 92 108 519 436 721 2028 coming back 2028 Exit 0 0 0 0 0 0 0 0 Yes 0 No 0 800 700 600 Entry Exit: Is family coming 500 Exit back? 400 Entry 0% 300 Exit 200 Yes 100 No 0 100% 19-Jan-18 20-Jan-18 21-Jan-18 22-Jan-18 23-Jan-18 24-Jan-18 25-Jan-18 GENERAL DEMOGRAPHICS REASONS FOR ENTRY AND EXIT VULNERABILITY FOR ENTRY AND EXIT ENTRY bl d l ni - es on ng d il a i d i <5 5 to 17 18 - 59 60 plus i l a y y l t t ia l y ded ent h hed t ed i d Male Female Total Men Women Children Total p n i ng nt on c ct rent ng a on s c t a y ons i h i i i ed i all ed i il i or ng a er c l a t e l all t il a g t t i m c Male Female Male Female Male Female Male Female n t un ur eed h i t t eho i ym r i eho d i a b p pe b ous a her rm t al He o c a c s i ENTRY ENTRY ng m il a s c o t a livi S a ood mf o i a needs n l ed e j ys a h s e f en stf s F o l i d cc O i er f s W p e nour pro c e regn He h ss a ep ond c ond du il ed 348 343 323 349 250 240 94 81 1015 1013 2028 344 321 1363 2028 m a d S d M R P c P S c In Ma hou Hou ng E n n i re Mi Ch Em S U 17% 17% 16% 17% 12% 12% 5% 4% 50% 50% 100% 17% 16% 67% 100% Oppor U Mal B 19-Jan 40 - - 18 - - - - - - 19-Jan - - - - - 9 8 - 12 - - - Entry: Female vs Male Entry: Age/Sex Entry: Men, Women and Children 20-Jan - - 81 13 - - - - - - 20-Jan - - - 19 - 9 13 - 8 - - - 400 21-Jan 56 - - 36 - - - - - - 21-Jan - - - - - 9 22 - 9 - - 4 300 17% 22-Jan - 108 - - - - - - - - 22-Jan - - - 15 6 - 17 9 12 - 8 - 200 Men 23-Jan 67 452 - - - - - - - - 23-Jan - - - 68 14 67 81 41 51 - 14 7 100 50% 0 50% Male Female 16% Women 24-Jan 30 406 - - - - - - - - 24-Jan - - - 46 22 58 55 14 31 6 25 - 25-Jan 342 122 243 14 - - - - - - 25-Jan - - - 31 21 55 272 - 22 - 6 11 Male Female Male Female Male Female Male Female 67% Children <5 5 to 17 18 - 59 60 plus EXIT b e d n i ni l - <5 5 to 17 18 - 59 60 plus a i on d il d t i l a y t l i he y ent y l ia ded h ed t Male Female Total Men Women Children Total ng s n d p ng i nt on i y rent i c a on ct t h i c a ons i i ed or ng i il ed i all a t il l er all un g a c a t l e eed t n t m Male Female Male Female Male Female Male Female i ym c t t ur t h i i eho r i t a eho d rm s b i a p b pe her g al ous d He o c m a c EXIT EXIT s o ng il a s i livi mf o a a c t ood n l a i S j stf needs a ed e f h en s ys e o F s s nour f p i l d cc e O a e s i W er 0 0 0 0 0 0 0 0 0 0 0 c He regn l pro s 0 0 0 0 c ep h ond ond du il ed m a d M R d S Ma P S c n c hou In P Hou re ng E n i Em Mi Oppor Ch Mal B U S #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! U 19-Jan - - - - - - - - - - 19-Jan - - - - - - - - - - - - Exit: Female vs Male Exit: Men, Women and Children Exit: Age/Sex 0% 20-Jan - - - - - - - - - - 20-Jan - - - - - - - - - - - - 1 21-Jan - - - - - - - - - - 21-Jan - - - - - - - - - - - - 0.8 0% 0.6 22-Jan - - - - - - - - - - 22-Jan - - - - - - - - - - - - 0.4 Men 23-Jan - - - - - - - - - - 23-Jan - - - - - - - - - - - - 0.2 0 Male Female Women 24-Jan - - - - - - - - - - 24-Jan - - - - - - - - - - - - Male Female Male Female Male Female Male Female 25-Jan - - - - - - - - - - 25-Jan - - - - - - - - - - - - Children <5 5 to 17 18 - 59 60 plus LOCATION Place of O rigin Entry District Exit Entry Region Exit District Region District of origin in Baidoa # % # % # % # % Xarardheere Aden Yabaal 0 0% Aden Yabaal 0 #DIV/0! Awdal 0 0% Awdal 0 #DIV/0! Tayeeglow Afgooye 10 3% Afgooye 0 #DIV/0! Bakool 76 25% Bakool 0 #DIV/0! Sakow Afmadow 0 0% Afmadow 0 #DIV/0! Bari 0 0% Bari 0 #DIV/0! Qoryooley Wanla Weyn Baardheere 0 0% Baardheere 0 #DIV/0! Bay 207 69% Bay 0 #DIV/0! Qandala Sheikh Badhaadhe 0 0% Badhaadhe 0 #DIV/0! Galguduud 0 0% Galguduu 0 #DIV/0! Luuq Qoryooley Baidoa 185 62% Baidoa 0 #DIV/0! Gedo 6 2% Gedo 0 #DIV/0! Laas Caanood Owdweyne Jowhar Baki 0 0% Baki 0 #DIV/0! Haylaan 0 0% Haylaan 0 #DIV/0! Laasqoray Jamaame Balcad 0 0% Balcad 0 #DIV/0! Hiiraan 0 0% Hiiraan 0 #DIV/0! Jowhar Hobyo Bandarbayla 0 0% Bandarbayla 0 #DIV/0! Lower Juba 0 0% Lower Ju 0 #DIV/0! Jalalaqsi Garowe Baraawe 0 0% Baraawe 0 #DIV/0! Lower Shabelle 10 3% Lower Sh 0 #DIV/0! Gebiley Gaalkacyo Gaalkacyo Belet Weyne 0 0% Belet Weyne 0 #DIV/0! Middle Juba 0 0% Middle Ju 0 #DIV/0! Diinsoor Dhuusamarr… Belet Xaawo 0 0% Belet Xaawo 0 #DIV/0! Middle Shebelle 0 0% Middle Sh 0 #DIV/0! Ceel Waaq Ceel Buur Berbera 0 0% Berbera 0 #DIV/0! Mudug 0 0% Mudug 0 #DIV/0! Ceel Barde Caluula Borama 0 0% Borama 0 #DIV/0! Nugal 0 0% Nugal 0 #DIV/0! Caluula Buur Hakaba Cabudwaaq Bossaso 0 0% Bossaso 0 #DIV/0! Sanaag 0 0% Sanaag 0 #DIV/0! Bulo Burto Buaale 0 0% Buaale 0 #DIV/0! Sool 0 0% Sool 0 #DIV/0! Burtinle Berbera Buaale Bulo Burto 0 0% Bulo Burto 0 #DIV/0! South Mudug 0 0% South Mu 0 #DIV/0! Bandarbayla Berbera Badhaadhe Burco 0 0% Burco 0 #DIV/0! Togdheer 0 0% Togdhee 0 #DIV/0! Baraawe Aden Yabaal Burtinle 0 0% Burtinle 0 #DIV/0! Woqooyi Galbeed 0 0% Woqooyi 0 #DIV/0! Baki 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Buuhoodle 0 0% Buuhoodle 0 #DIV/0! Not indicated 0 0% Not indic 0 #DIV/0! Baardheere Buur Hakaba 10 3% Buur Hakaba 0 #DIV/0! Total 299 100% Total 0 #DIV/0! Aden Yabaal Cabudwaaq 0 0% Cabudwaaq 0 #DIV/0! 0 20 40 60 80 100 120 140 160 180 200 Cadaado 0 0% Cadaado 0 #DIV/0! Cadale 0 0% Cadale 0 #DIV/0! Caluula 0 0% Caluula 0 #DIV/0! Caynabo 0 0% Caynabo 0 #DIV/0! # Entry: County (origin) # Entry: County (origin) # Entry: Sub-county of # Exit: Sub-county of Entry: Village of # Ceel Afweyn 0 0% Ceel Afweyn 0 #DIV/0! originLocation originLocation originLocation Ceel Barde 0 0% Ceel Barde 0 #DIV/0! Garissa 0 Garissa 0 Dadaab 0 Dadaab 0 Garasgoof 0 Ceel Buur 0 0% Ceel Buur 0 #DIV/0! Wajir 0 Wajir 0 Ijara 0 Ijara 0 Buurhelidi 0 Ceel Dheer 0 0% Ceel Dheer 0 #DIV/0! Mandera 0 Mandera 0 Fafi, 0 Fafi, 0 Madiini 0 Ceel Waaq 0 0% Ceel Waaq 0 #DIV/0! Balambala, 0 Balambala, 0 Hebeedow 0 Ceerigaabo 0 0% Ceerigaabo 0 #DIV/0! Garissa Town 0 Garissa Town 0 Ooflow 0 Dhuusamarreeb 0 0% Dhuusamarreeb 0 #DIV/0! Entry:County of origin Exit: County of origin Hulugho Wajir 0 Hulugho 0 Goofgaduud Shabeelow 0 Diinsoor 4 1% Diinsoor 0 #DIV/0! East Wajir 0 Wajir East 0 Buulo Xaawo 0 Doolow 6 2% Doolow 0 #DIV/0! West Wajir 0 Wajir