1. Information in Humanitarian
Emergency Response
Craig Williams, Regional Information Management Officer
UN Office for the Coordination of Humanitarian Affairs, Regional Office for Asia-Pacific (OCHA ROAP)
2. “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-moon
Statement on World Statistics Day (20 October 2010)
12. Community baseline data
1 2 3 4 5 6 7 8
MANSEHRA MC MANSEHRA DISTRICT 49,534 25,652 23,882 27,843 3.44 7.1
TAKHT BHAI MC MARDAN DISTRICT 49,202 25,731 23,471 18,325 5.98 8.9
HARIPUR MC HARIPUR DISTRICT 48,309 25,520 22,789 31,117 2.62 6.8
ABBOTTABAD MC ABBOTTABAD DISTRICT 47,609 25,075 22,534 32,188 2.33 6.6
TEMERGARA MC LOWER DIR DISTRICT 44,335 23,509 20,826 - - 9.5
BAT KHELA MC MALAKAND PROTECTED AREA 43,179 22,800 20,379 - - 10.2
BANNU MC BANNU DISTRICT 38,194 20,444 17,750 35,170 0.49 7.8
TANK MC TANK DISTRICT 35,741 18,913 16,828 25,003 2.12 10.2
KHALABAT MC HARIPUR DISTRICT 34,426 17,025 17,401 23,892 2.17 6.6
NOWSHERA CANTT NOWSHERA DISTRICT 33,237 19,540 13,697 36,038 -0.47 6.5
RISALPUR CANTT NOWSHERA DISTRICT 31,416 19,969 11,447 20,386 2.57 6.3
PABBI MC NOWSHERA DISTRICT 31,153 16,082 15,071 13,331 5.12 7.9
JEHANGIRA MC NOWSHERA DISTRICT 31,115 16,055 15,060 18,076 3.24 7.9
HANGU MC HANGU DISTRICT 31,022 16,172 14,850 15,526 4.15 9.2
KOHAT CANTT KOHAT DISTRICT 30,764 21,120 9,644 21,772 2.05 5.9
CHITRAL MC CHITRAL DISTRICT 30,622 16,597 14,025 - - 7.6
LAKKI MARWAT MC LAKKI MARWAT DISTRICT 30,467 15,886 14,581 18,755 2.89 8.6
TOPI MC SWABI DISTRICT 30,458 15,897 14,561 - - 7.6
KARAK MC KARAK DISTRICT 27,893 14,044 13,849 13,679 4.28 9.2
TORDHER TC SWABI DISTRICT 27,861 13,698 14,163 - - 7.4
TALL MC HANGU DISTRICT 25,355 12,864 12,491 18,901 1.74 9.9
TANGI MC CHARSADDA DISTRICT 25,346 13,130 12,216 19,492 1.56 7.4
UTMANZAI MC CHARSADDA DISTRICT 24,848 12,683 12,165 18,931 1.61 7.5
DIR TC UPPER DIR DISTRICT 22,901 11,736 11,165 - - 8.3
ZAIDA MC SWABI DISTRICT 22,656 11,320 11,336 - - 7.3
AMANGARH INDUSTRIAL AREA TC NOWSHERA DISTRICT 21,476 11,349 10,127 9,258 5.07 7.2
NAWAN SHEHR TC ABBOTTABAD DISTRICT 19,871 10,175 9,696 14,504 1.87 7
HAVELIAN CANTT ABBOTTABAD DISTRICT 19,609 10,326 9,283 - - 6.5
AKORA KHATTAK MC NOWSHERA DISTRICT 19,530 10,458 9,072 13,788 2.07 7.4
KULACHI TC D. I. KHAN DISTRICT 19,113 10,041 9,072 14,785 1.52 7.7
NAWAN KILLI TC SWABI DISTRICT 18,082 9,220 8,862 11,957 2.46 7.8
SARAI NAURANG TC LAKKI MARWAT DISTRICT 16,411 8,525 7,886 - - 9.7
LACHI TC KOHAT DISTRICT 15,684 7,812 7,872 10,215 2.55 6.8
PAHAR PUR TC D. I. KHAN DISTRICT 14,580 7,642 6,938 8,665 3.11 8.2
HAVELIAN MC ABBOTTABAD DISTRICT 12,016 6,267 5,749 16,305 -1.78 7.2
BAFFA TC MANSEHRA DISTRICT 11,842 5,997 5,845 9,593 1.25 6.6
SHAKARDARA TC KOHAT DISTRICT 9,602 4,647 4,955 - - 6.5
BANNU CANTT BANNU DISTRICT 9,482 6,043 3,439 8,040 0.97 7.5
DOABA TC HANGU DISTRICT 7,840 3,922 3,918 - - 8.7
1981-1998
AVG. ANNUAL
GROWTH RATE
( %AGE )
AVERAGE
HOUSEHOLD
SIZE
BOTH
SEXES
MALE FEMALE
URBAN LOCALITIES BY
POPULATION SIZE
TEHSIL
POPULATION 1998
POPULATION
1981
AGE
GROUP
(IN YEARS) BOTH SEXES MALE FEMALE BOTH SEXES MALE FEMALE BOTH SEXES MALE FEMALE
1 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 1,404,660
00 -- 04 2,884,942 1,479,358 1,405,584 2,460,662 1,261,083 1,199,579 424,280 218,275 206,005
BELOW 1 423,383 218,619 204,764 358,188 184,942 173,246 65,195 33,677 31,518
01 507,608 260,287 247,321 432,750 221,857 210,893 74,858 38,430 36,428
02 668,400 340,380 328,020 572,648 291,273 281,375 95,752 49,107 46,645
03 618,960 315,256 303,704 526,658 268,104 258,554 92,302 47,152 45,150
04 666,591 344,816 321,775 570,418 294,907 275,511 96,173 49,909 46,264
05 -- 09 3,021,295 1,579,203 1,442,092 2,569,337 1,344,588 1,224,749 451,958 234,615 217,343
05 623,852 327,011 296,841 529,723 277,735 251,988 94,129 49,276 44,853
06 661,872 343,747 318,125 566,988 294,906 272,082 94,884 48,841 46,043
07 575,199 298,913 276,286 485,887 252,778 233,109 89,312 46,135 43,177
08 706,687 371,231 335,456 605,942 318,858 287,084 100,745 52,373 48,372
09 453,685 238,301 215,384 380,797 200,311 180,486 72,888 37,990 34,898
10 -- 14 2,468,859 1,305,573 1,163,286 2,057,662 1,090,921 966,741 411,197 214,652 196,545
10 667,778 352,965 314,813 566,615 299,510 267,105 101,163 53,455 47,708
11 388,004 206,380 181,624 319,657 170,605 149,052 68,347 35,775 32,572
12 574,048 304,668 269,380 480,894 255,761 225,133 93,154 48,907 44,247
13 407,303 214,935 192,368 334,344 177,273 157,071 72,959 37,662 35,297
14 431,726 226,625 205,101 356,152 187,772 168,380 75,574 38,853 36,721
15 -- 19 1,858,479 950,241 908,238 1,517,751 771,277 746,474 340,728 178,964 161,764
15 369,238 197,488 171,750 303,171 163,290 139,881 66,067 34,198 31,869
16 348,438 185,538 162,900 283,274 151,422 131,852 65,164 34,116 31,048
17 267,425 145,625 121,800 211,832 115,688 96,144 55,593 29,937 25,656
18 551,247 260,133 291,114 457,427 212,363 245,064 93,820 47,770 46,050
19 322,131 161,457 160,674 262,047 128,514 133,533 60,084 32,943 27,141
20 -- 24 1,459,737 711,544 748,193 1,184,201 562,622 621,579 275,536 148,922 126,614
20 511,942 219,412 292,530 426,901 178,292 248,609 85,041 41,120 43,921
21 194,271 106,305 87,966 152,138 81,281 70,857 42,133 25,024 17,109
22 327,136 159,456 167,680 265,227 126,461 138,766 61,909 32,995 28,914
23 216,076 115,039 101,037 172,985 90,125 82,860 43,091 24,914 18,177
24 210,312 111,332 98,980 166,950 86,463 80,487 43,362 24,869 18,493
25 -- 29 1,192,991 575,583 617,408 969,693 455,289 514,404 223,298 120,294 103,004
25 412,086 170,195 241,891 344,260 138,836 205,424 67,826 31,359 36,467
26 198,651 103,871 94,780 158,174 80,915 77,259 40,477 22,956 17,521
27 184,121 98,214 85,907 146,493 76,239 70,254 37,628 21,975 15,653
28 275,016 130,981 144,035 224,492 103,818 120,674 50,524 27,163 23,361
29 123,117 72,322 50,795 96,274 55,481 40,793 26,843 16,841 10,002
30 -- 34 976,840 491,413 485,427 786,361 385,532 400,829 190,479 105,881 84,598
TOTAL RURAL URBAN
13. 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
14. 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
