Information in HumanitarianEmergency Response

Craig Williams, Regional Information Management Officer

UN Office for the Coordination of Humanitarian Affairs, Regional Office for Asia-Pacific (OCHA ROAP)

“Statistics are a central consideration in justifying almost every aspect of budgets and programmes that enable hungry children to be fed or that provide shelter and emergency health care for victims of natural disasters.”

United Nations Secretary-General, Ban Ki-moonStatement on World Statistics Day (20 October 2010)

Disaster Management Cycle

Respond

RecoverRebuild

Prepare

Disaster Management Cycle

Respond

RecoverRebuild

PrepareDisaster

Disaster Management Cycle

Respond

RecoverRebuild

PrepareDisaster

Disaster Management Cycle

Respond

RecoverRebuild

PrepareDisaster

Disaster Management Cycle

Respond

RecoverRebuild

PrepareDisaster

Geographic data standards

Community baseline data

1 2 3 4 5 6 7 8MANSEHRA MC MANSEHRA DISTRICT 49,534 25,652 23,882 27,843 3.44 7.1TAKHT BHAI MC MARDAN DISTRICT 49,202 25,731 23,471 18,325 5.98 8.9HARIPUR MC HARIPUR DISTRICT 48,309 25,520 22,789 31,117 2.62 6.8ABBOTTABAD MC ABBOTTABAD DISTRICT 47,609 25,075 22,534 32,188 2.33 6.6TEMERGARA MC LOWER DIR DISTRICT 44,335 23,509 20,826 - - 9.5BAT KHELA MC MALAKAND PROTECTED AREA 43,179 22,800 20,379 - - 10.2BANNU MC BANNU DISTRICT 38,194 20,444 17,750 35,170 0.49 7.8TANK MC TANK DISTRICT 35,741 18,913 16,828 25,003 2.12 10.2KHALABAT MC HARIPUR DISTRICT 34,426 17,025 17,401 23,892 2.17 6.6NOWSHERA CANTT NOWSHERA DISTRICT 33,237 19,540 13,697 36,038 -0.47 6.5RISALPUR CANTT NOWSHERA DISTRICT 31,416 19,969 11,447 20,386 2.57 6.3PABBI MC NOWSHERA DISTRICT 31,153 16,082 15,071 13,331 5.12 7.9JEHANGIRA MC NOWSHERA DISTRICT 31,115 16,055 15,060 18,076 3.24 7.9HANGU MC HANGU DISTRICT 31,022 16,172 14,850 15,526 4.15 9.2KOHAT CANTT KOHAT DISTRICT 30,764 21,120 9,644 21,772 2.05 5.9CHITRAL MC CHITRAL DISTRICT 30,622 16,597 14,025 - - 7.6LAKKI MARWAT MC LAKKI MARWAT DISTRICT 30,467 15,886 14,581 18,755 2.89 8.6TOPI MC SWABI DISTRICT 30,458 15,897 14,561 - - 7.6KARAK MC KARAK DISTRICT 27,893 14,044 13,849 13,679 4.28 9.2TORDHER TC SWABI DISTRICT 27,861 13,698 14,163 - - 7.4TALL MC HANGU DISTRICT 25,355 12,864 12,491 18,901 1.74 9.9TANGI MC CHARSADDA DISTRICT 25,346 13,130 12,216 19,492 1.56 7.4UTMANZAI MC CHARSADDA DISTRICT 24,848 12,683 12,165 18,931 1.61 7.5DIR TC UPPER DIR DISTRICT 22,901 11,736 11,165 - - 8.3ZAIDA MC SWABI DISTRICT 22,656 11,320 11,336 - - 7.3AMANGARH INDUSTRIAL AREA TCNOWSHERA DISTRICT 21,476 11,349 10,127 9,258 5.07 7.2NAWAN SHEHR TC ABBOTTABAD DISTRICT 19,871 10,175 9,696 14,504 1.87 7HAVELIAN CANTT ABBOTTABAD DISTRICT 19,609 10,326 9,283 - - 6.5AKORA KHATTAK MC NOWSHERA DISTRICT 19,530 10,458 9,072 13,788 2.07 7.4KULACHI TC D. I. KHAN DISTRICT 19,113 10,041 9,072 14,785 1.52 7.7NAWAN KILLI TC SWABI DISTRICT 18,082 9,220 8,862 11,957 2.46 7.8SARAI NAURANG TC LAKKI MARWAT DISTRICT 16,411 8,525 7,886 - - 9.7LACHI TC KOHAT DISTRICT 15,684 7,812 7,872 10,215 2.55 6.8PAHAR PUR TC D. I. KHAN DISTRICT 14,580 7,642 6,938 8,665 3.11 8.2HAVELIAN MC ABBOTTABAD DISTRICT 12,016 6,267 5,749 16,305 -1.78 7.2BAFFA TC MANSEHRA DISTRICT 11,842 5,997 5,845 9,593 1.25 6.6SHAKARDARA TC KOHAT DISTRICT 9,602 4,647 4,955 - - 6.5BANNU CANTT BANNU DISTRICT 9,482 6,043 3,439 8,040 0.97 7.5DOABA TC HANGU DISTRICT 7,840 3,922 3,918 - - 8.7

1981-1998 AVG. ANNUAL

GROWTH RATE ( %AGE )

AVERAGE HOUSEHOLD

SIZEBOTH

SEXESMALE FEMALE

URBAN LOCALITIES BY POPULATION SIZE

TEHSIL

POPULATION 1998POPULATION

1981

AGEGROUP

(IN YEARS) BOTH SEXES MALE FEMALE BOTH SEXES MALE FEMALE BOTH SEXES MALE FEMALE1 2 3 4 5 6 7 8 9 10

ALL AGES 17,743,645 9,088,936 8,654,709 14,749,561 7,499,512 7,250,049 2,994,084 1,589,424 1,404,66000 -- 04 2,884,942 1,479,358 1,405,584 2,460,662 1,261,083 1,199,579 424,280 218,275 206,005BELOW 1 423,383 218,619 204,764 358,188 184,942 173,246 65,195 33,677 31,51801 507,608 260,287 247,321 432,750 221,857 210,893 74,858 38,430 36,42802 668,400 340,380 328,020 572,648 291,273 281,375 95,752 49,107 46,64503 618,960 315,256 303,704 526,658 268,104 258,554 92,302 47,152 45,15004 666,591 344,816 321,775 570,418 294,907 275,511 96,173 49,909 46,26405 -- 09 3,021,295 1,579,203 1,442,092 2,569,337 1,344,588 1,224,749 451,958 234,615 217,34305 623,852 327,011 296,841 529,723 277,735 251,988 94,129 49,276 44,85306 661,872 343,747 318,125 566,988 294,906 272,082 94,884 48,841 46,04307 575,199 298,913 276,286 485,887 252,778 233,109 89,312 46,135 43,17708 706,687 371,231 335,456 605,942 318,858 287,084 100,745 52,373 48,37209 453,685 238,301 215,384 380,797 200,311 180,486 72,888 37,990 34,89810 -- 14 2,468,859 1,305,573 1,163,286 2,057,662 1,090,921 966,741 411,197 214,652 196,54510 667,778 352,965 314,813 566,615 299,510 267,105 101,163 53,455 47,70811 388,004 206,380 181,624 319,657 170,605 149,052 68,347 35,775 32,57212 574,048 304,668 269,380 480,894 255,761 225,133 93,154 48,907 44,24713 407,303 214,935 192,368 334,344 177,273 157,071 72,959 37,662 35,29714 431,726 226,625 205,101 356,152 187,772 168,380 75,574 38,853 36,72115 -- 19 1,858,479 950,241 908,238 1,517,751 771,277 746,474 340,728 178,964 161,76415 369,238 197,488 171,750 303,171 163,290 139,881 66,067 34,198 31,86916 348,438 185,538 162,900 283,274 151,422 131,852 65,164 34,116 31,04817 267,425 145,625 121,800 211,832 115,688 96,144 55,593 29,937 25,65618 551,247 260,133 291,114 457,427 212,363 245,064 93,820 47,770 46,05019 322,131 161,457 160,674 262,047 128,514 133,533 60,084 32,943 27,14120 -- 24 1,459,737 711,544 748,193 1,184,201 562,622 621,579 275,536 148,922 126,61420 511,942 219,412 292,530 426,901 178,292 248,609 85,041 41,120 43,92121 194,271 106,305 87,966 152,138 81,281 70,857 42,133 25,024 17,10922 327,136 159,456 167,680 265,227 126,461 138,766 61,909 32,995 28,91423 216,076 115,039 101,037 172,985 90,125 82,860 43,091 24,914 18,17724 210,312 111,332 98,980 166,950 86,463 80,487 43,362 24,869 18,49325 -- 29 1,192,991 575,583 617,408 969,693 455,289 514,404 223,298 120,294 103,00425 412,086 170,195 241,891 344,260 138,836 205,424 67,826 31,359 36,46726 198,651 103,871 94,780 158,174 80,915 77,259 40,477 22,956 17,52127 184,121 98,214 85,907 146,493 76,239 70,254 37,628 21,975 15,65328 275,016 130,981 144,035 224,492 103,818 120,674 50,524 27,163 23,36129 123,117 72,322 50,795 96,274 55,481 40,793 26,843 16,841 10,00230 -- 34 976,840 491,413 485,427 786,361 385,532 400,829 190,479 105,881 84,598

TOTAL RURAL URBAN

Other response support•Needs assessment

•Methodology•Implementation

•Expert support•Advice to managers and responders•Technical support

•Continuity•Ensuring baselines are used•Ensuring response information is carried

forward

•Role model•Encouraging data sharing by sharing data•Encouraging quality in the management of

information

What Can NSOs Do•Be engaged

•Be part of national disaster management system

•Be part of contingency planning and preparedness

•Be prepared•Geographic data standards•Community baseline data•Needs assessment

•Be involved•Second staff to disaster management office•Provide technical support for responders

•Be open•Promote standards•Share data

Thank you!Craig Williamswilliamscv@un.org+66 8 1373 2461

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