Flow Monitoring • Spin Boldak–Chaman Dashboard • 01 Oct 2019 – 30 Sep 2020
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FLOW MONITORING • SPIN BOLDAK–CHAMAN DASHBOARD • 01 OCT 2019 – 30 SEP 2020 DTM's Flow Monitoring quantifies population inflows and outflows, as well as demographics, travel intentions, origins, destinations and needs of migrants, returnees and other cross-border, mobile populations, thereby informing preparedness and response planning at borders and at places of origin. DTM collects data at Flow Monitoring Points through interviews with both individual travellers and those travelling in groups. Flow Monitoring provides information on the flows of migrants to and from Afghanistan, Pakistan, Tajikistan, Uzbekistan, Turkmenistan and Iran, including those who have previously lived abroad as refugees and migrants, have returned to Afghanistan, and are re-migrating abroad again. DTM conducting flow monitoring at Spin Boldak—Chaman. © IOM 2020 INFLOW | Pakistan to Afghanistan OUTFLOW | Afghanistan to Pakistan 1,752,319 1,524,830 individuals entered Afghanistan from Pakistan individuals exited Afghanistan to Pakistan 26,975 (1.5%) 702 migrants were deportees and returnees (0.2% migrants had previously returned to Afghanistan deportees + 1.3% spontaneous returnees) before their current journey 1,741,768 (99.40%) 1,518,277 (99.57%) migrants are of Afghan nationality migrants are of Afghan nationality 10,551 (0.60%) 6,553 (0.43%) migrants are of Pakistani nationality migrants are of Pakistani nationality 99.5% 0.5% 97.2% 2.8% male female male female Age/Sex Disaggregation Age/Sex Disaggregation Male Female Male Female 99.0% 1.0% 45.5% 54.5% Under 5 (0.3%) Under 5 (0.0%) 5,561 58 25 30 99.1% 0.9% 54.4% 45.6% 5-17 (0.3%) 5-17 (0.0%) 5,294 50 31 26 99.6% 0.4% 97.5% 2.5% Age Group 18-59 (97.9%) Age Group 18-59 (94.4%) 1,709,649 6,272 1,404,444 35,519 89.0% 11.0% 92.0% 8.0% Over 60 (1.5%) Over 60 (5.6%) 22,636 2,800 77,964 6,791 VULNERABLE MIGRANTS (INFLOW ONLY) 10,963 0 (500*) 92 0 23,617 16,935 6 Below 18 years Unaccompanied Single Pregnant & Physically Mentally Deceased old Minors (UAMs) Females Lactating Females Disabled Disabled *Adjusted UAM. As the number of males aged between 5-17 years old far exceeds the number of females of the same age, this implies that many boys are likely UAMs. They do not, however, self-identify as UAMs as they travel in groups with brothers, uncles, extended family and friends. 8.5% (149,491) 2.3% (35,538) afghan migrants have a passport afghan migrants have a passport 7.9% (138,434) 2.1% (31,589) have a valid visa have a valid visa Travel Frequency Travel Frequency Very Often (4 or more days per week) 0.4% Ve ften ore e eek) 1.1% Often (1 to 3 days per week) 1.5% Often ays e eek) 1.5% Sometimes (1 to 3 days per month) 2.9% Sometimes o ays er nth) 3.3% Not Often (2 to 11 days per year) 9.1% No ften e ar) 19.7% Rarely (1 or less days per year) 7.7% Rarel ( o ess e ar) 43.8% Never (first and only time) 3.4% Never first nd nl me) 0.3% Don’t Know 74.7% Don’t now 30.2% Refuse to Answer 0.2% Refus o swer 0.0% 0% 20% 40% 60% 80% 100% 0% 20% 40% 60% 80% 100% INFLOW | Pakistan to Afghanistan OUTFLOW | Afghanistan to Pakistan 8.9% (139,701) 1.1% (5,738) migrants have a persistent cough for 3+ weeks migrants have a persistent cough for 3+ weeks 19.4% (336,177) 0.9% (25,696) migrants have been diagnosed with Tuberculosis (TB) migrants have been diagnosed with Tuberculosis (TB) 54.6% (956,922) 69.5% (1,060,204) migrants have been vaccinated for polio migrants have been vaccinated for polio 90.6% (1,587,250) 99.6% (1,518,724) migrants indicated Polio vaccination teams visited their migrants indicated Polio vaccination teams visited their homes or communities at least once every 6 months homes or communities at least once every 6 months Reason of Travel Reason o ravel Deportation 0.3%, 4,391 eportation 0.0%, 0 Economic Migration (< 6 months) 0.1%, 1,549 Economic igation (< months) 0.1%, 1,034 Economic Migration (> 6 months) 0.1%, 1,001 Economic igation (> months) 0.3%, 4,609 Education 0.0%, 0 Eucation 1.4%, 21,148 Event (Social/Public/Religious) 0.1%, 1,289 Event (Social/Public/Religious) 9.3%, 141,129 Family Visit 0.2%, 3,338 Family Visit 21.7%, 328,617 Forced Movement: Conflict 0.0%, 0 Foce ovement onlict 0.2%, 2,378 Forced Movement: Natural Disaster 0.0%, 0 Foced ovement atual isaster 0.0%, 0 Health Services 2.5%, 43,123 Health Sevices 32.8%, 496,908 Home 94.7%, 1,659,709 Home 12.7%, 192,489 Market 0.7%, 11,594 aket 21.2%, 321,285 Refuse to Answer 0.0%, 0 Reuse to nswer 0.1%, 1,516 Return (Voluntary/Spontaneous) 1.3%, 22,584 Retun (Voluntay/Spontaneous) 0.2%, 3,197 Seasonal (nomadic, < 6 months) 0.0%, 0 Seasonal (nomaic monts) 0.0%, 0 Tourism 0.2%, 3,392 ouism 0.1%, 1,272 Transport/Freight Provider 0.0%, 0 Tansport/Feight Povider 0.0%, 0 DISTRICTS AFFECTED BY CROSSBORDER POPULATION MOBILITY Jawzjan Kunduz Balkh Takhar Badakhshan Samangan Faryab Baghlan Sar-e-Pul Panjsher Nuristan Badghis Kapisa Bamyan Parwan Kunar Laghman Kabul Ghor Wardak Nangarhar Herat Logar Daykundi Paktya Ghazni Khost Uruzgan Border Crossing Point Farah Paktika Zabul Districts of High Migration (AFG) (Inflow+Outflow) < 758 Helmand Kandahar 759 - 4,936 Nimroz Spin Boldak – Chaman 4,937 - 28,017 28,018 - 155,494 155,495 - 859,572 Cross-Border Mobility Trends 1,500,000 1,000,000 500,000 0 Dec Feb Apr May Aug Sep 2019 2020 Inflow Outflow DTM in Afghanistan is generously supported by: Supported by: Afghanistan Co-funded by the Humanitarian AHF Fund European Union in coordination with.