1) The document discusses the importance of information and statistics in humanitarian emergency response. It outlines the disaster management cycle and emphasizes the role of information management at each stage.
2) Community baseline data is presented for various localities in Khyber Pakhtunkhwa province, including population statistics from 1981-1998.
3) National statistical offices can support emergency response by being engaged in contingency planning, providing technical support to responders, and encouraging data sharing and quality management of information.
The document contains two tables providing future value interest factors for one dollar and one dollar annuities compounded at various interest rates over different periods of time. Table A-1 shows the future value of $1 invested at rates from 1% to 30% over periods from 1 to 30 years. Table A-2 shows the future value of a $1 annuity invested at the same rates and periods. The tables allow users to determine the future values of single investments and annuities based on the interest rate and time period.
The document contains two tables providing future value interest factors for present values compounded over time at given interest rates. Table A-1 gives the future value of $1 invested for a given number of periods at rates from 1% to 30%. Table A-2 gives the future value of a $1 annuity invested over the same periods and rates. Both tables allow users to determine the future value of investments based on the interest rate and length of time compounded.
The document contains two tables providing future value interest factors for one dollar and one dollar annuities compounded at various interest rates over different periods of time. Table A-1 shows the future value of $1 invested at rates from 1% to 30% over periods from 1 to 30 years. Table A-2 shows the future value of a $1 annuity invested at the same rates and periods. The tables allow users to determine the future values of single investments and annuities based on the interest rate and time horizon.
The document contains two tables providing future value interest factors for present values compounded over time at given interest rates. Table A-1 gives the future value of $1 invested for a given number of periods at rates from 1% to 30%. Table A-2 gives the future value of a $1 annuity invested over the same periods and rates. The tables allow users to calculate future or present values of investments compounded at different rates over different lengths of time.
This document presents water delivery data for the Palo Verde Irrigation District from January to December 2015. It includes the estimated and ordered water diversions, deliveries to farms, spillages to rivers and drains, and return flows to rivers. The total water diversion for the year was 862,548 acre-feet, with 720,858 acre-feet delivered to farms and the remaining amounts lost to spillage and return flows. Diversions were close to ordered amounts each month and averaged around 1,200 cubic feet per second daily.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The body of the table provides the chi-square distribution critical values corresponding to each combination of degrees of freedom and probability level.
The document contains two tables providing future value interest factors for one dollar and one dollar annuities compounded at various interest rates over different periods of time. Table A-1 shows the future value of $1 invested at rates from 1% to 30% over periods from 1 to 30 years. Table A-2 shows the future value of a $1 annuity invested at the same rates and periods. The tables allow users to determine the future values of single investments and annuities based on the interest rate and time period.
The document contains two tables providing future value interest factors for present values compounded over time at given interest rates. Table A-1 gives the future value of $1 invested for a given number of periods at rates from 1% to 30%. Table A-2 gives the future value of a $1 annuity invested over the same periods and rates. Both tables allow users to determine the future value of investments based on the interest rate and length of time compounded.
The document contains two tables providing future value interest factors for one dollar and one dollar annuities compounded at various interest rates over different periods of time. Table A-1 shows the future value of $1 invested at rates from 1% to 30% over periods from 1 to 30 years. Table A-2 shows the future value of a $1 annuity invested at the same rates and periods. The tables allow users to determine the future values of single investments and annuities based on the interest rate and time horizon.
The document contains two tables providing future value interest factors for present values compounded over time at given interest rates. Table A-1 gives the future value of $1 invested for a given number of periods at rates from 1% to 30%. Table A-2 gives the future value of a $1 annuity invested over the same periods and rates. The tables allow users to calculate future or present values of investments compounded at different rates over different lengths of time.
This document presents water delivery data for the Palo Verde Irrigation District from January to December 2015. It includes the estimated and ordered water diversions, deliveries to farms, spillages to rivers and drains, and return flows to rivers. The total water diversion for the year was 862,548 acre-feet, with 720,858 acre-feet delivered to farms and the remaining amounts lost to spillage and return flows. Diversions were close to ordered amounts each month and averaged around 1,200 cubic feet per second daily.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The body of the table provides the chi-square distribution critical values corresponding to each combination of degrees of freedom and probability level.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Probability levels (p) from 0.001 to 0.5 across the top row.
- The corresponding chi-square distribution critical values within the table.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The corresponding chi-square distribution critical values where the probability of exceeding that value is equal to the probability level.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document discusses climate change mitigation potential from USDA Natural Resources Conservation Service (NRCS) conservation practices on working lands. It provides background on climate change and agriculture's role. It then presents data on greenhouse gas reductions and carbon sequestration from various NRCS conservation practices implemented over time, such as conservation tillage, cover crops, and prescribed grazing. Finally, it notes the total estimated mitigation contribution from NRCS practices is between 100.4 to 113.6 million metric tons of carbon dioxide equivalent annually.
1. The document contains a table with critical values of the chi-squared distribution for different degrees of freedom and significance levels.
2. The table has values ranging from 0.001 to 0.995 for significance levels and degrees of freedom from 1 to 140.
3. The critical values increase as the significance level decreases or the degrees of freedom increases.
This document contains a table with percentiles for the chi-squared distribution across various degrees of freedom (g.l.) and significance levels. It shows the critical value needed to reject the null hypothesis for different sample sizes and confidence levels in chi-squared tests of independence and goodness of fit.
This document summarizes budget allocations to national universities in Argentina between January 1st and July 31st 2013. It provides details of approved credits, salaries, agreements and other expenses for each university. The total approved credits for all universities was over 21 billion Argentine pesos, of which over 11.5 billion was allocated for salaries. Over 63% of total program funds were executed in transfers to the universities.
This document contains a table showing future value factors for uniform series of posticipated payments at interest rates ranging from 1% to 15% per period over periods of 1 to 33. The future value factor, denoted Sn,i, is calculated as [(1+i)^n] - 1)/i, where n is the number of periods and i is the interest rate per period.
Te dhena statistikore dhe analiza e tyre.Arsi Gest
This document contains population statistics for Kosovo from 2012 to 2015, divided into age groups for males and females in both urban and rural areas. The urban population increased slightly from 1,575,566 in 2012 to 1,654,797 in 2015. The rural population decreased slightly from 1,326,624 in 2012 to 1,238,208 in 2015. Overall the total population of Kosovo decreased slightly from 2,902,190 in 2012 to 2,893,005 in 2015. Tables and charts are provided to show the population numbers for each age group and year.
This document summarizes the results of a corn hybrid trial conducted in Francesville, IN in 2011. Twenty-seven hybrids were planted and evaluated for traits such as yield, moisture, test weight, and lodging. The top yielding hybrid was VYP315 with 5,476 pounds per acre. Other top performers were VYP313, AP6003, AP8202, and AG802. The trial provides a comparison of hybrid performance under the growing conditions experienced in 2011.
The document contains a table of numbers organized in rows and columns. The first column contains probability values from 0.1 to 0.005 decreasing by factors of 2. The remaining columns contain sets of numbers that decrease as the probability values decrease.
I. International tourist arrivals to Cambodia in January to May 2012 totaled 1,505,734, a 26.3% increase from 2011.
II. The majority (50.6%) arrived by land and waterways, while 49.4% arrived by air. The top two markets were Vietnam and South Korea.
III. Siem Reap Province saw the largest increase, with arrivals up 38.2% compared to Phnom Penh and other destinations which rose 10.5%.
The table provides critical values for the Pearson chi-squared test (χ2) based on the level of significance and degrees of freedom (k). The higher the value of k and the lower the significance level, the higher the critical value. For example, with k=10 and a significance level of 5%, the critical value is 18.307.
Tabla de comparacion pago de pmg 2020 completamarcosroa2
The document provides a table comparing the payment amounts for different positions in municipal government considering 100% compliance. It lists the base salary, various allowances and bonuses provided by different laws, quarterly and monthly assignment amounts, and the total compensation for various positions like alderman, director, professional, and technician of different levels from 1 to 12 or 15. It also shows the difference in total compensation before and after deductions provided by laws 19553 and 19553.
This document contains trigonometric functions (sine, cosine, tangent, cotangent, secant, cosecant) with their corresponding degree and radian values from 0 to 45 degrees. It shows how the trig functions change as the degree and radian values increase from 0 to 45 degrees.
This document provides funding allocation amounts from three sources (FPM, FUNDEB, FUS) for municipalities in the state of Maranhão, Brazil for the month of January. It lists the municipality name and the amounts allocated from each funding source, as well as total amounts. The document also notes residual funding amounts from 2017. In total, funding allocation amounts for dozens of municipalities are provided for three dates in January 2018.
- Turkish citrus exports from January to May 2015 totaled 581,577 metric tons valued at $311.5 million, representing a 5% decrease in amount and 14% decrease in value compared to the same period in 2014.
- The top importing countries in this period were Russia, Iraq, Ukraine, Saudi Arabia, and Romania. Russia had the largest increase of 32% in amount and 22% in value.
- Mandarins were the most exported citrus fruit from Turkey in this period at 41% of the total amount and value, followed by lemons at 29% of amount and 32% of value.
Matthew Professional CV experienced Government LiaisonMattGardner52
As an experienced Government Liaison, I have demonstrated expertise in Corporate Governance. My skill set includes senior-level management in Contract Management, Legal Support, and Diplomatic Relations. I have also gained proficiency as a Corporate Liaison, utilizing my strong background in accounting, finance, and legal, with a Bachelor's degree (B.A.) from California State University. My Administrative Skills further strengthen my ability to contribute to the growth and success of any organization.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Probability levels (p) from 0.001 to 0.5 across the top row.
- The corresponding chi-square distribution critical values within the table.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The corresponding chi-square distribution critical values where the probability of exceeding that value is equal to the probability level.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document contains a table listing chi-square distribution values for different degrees of freedom and probability levels. The table includes:
- Degrees of freedom (ν) ranging from 1 to 100+ in the left column.
- Various probability levels (p) from 0.001 to 0.5 across the top row.
- The chi-square distribution values at each intersection of ν and p.
This document discusses climate change mitigation potential from USDA Natural Resources Conservation Service (NRCS) conservation practices on working lands. It provides background on climate change and agriculture's role. It then presents data on greenhouse gas reductions and carbon sequestration from various NRCS conservation practices implemented over time, such as conservation tillage, cover crops, and prescribed grazing. Finally, it notes the total estimated mitigation contribution from NRCS practices is between 100.4 to 113.6 million metric tons of carbon dioxide equivalent annually.
1. The document contains a table with critical values of the chi-squared distribution for different degrees of freedom and significance levels.
2. The table has values ranging from 0.001 to 0.995 for significance levels and degrees of freedom from 1 to 140.
3. The critical values increase as the significance level decreases or the degrees of freedom increases.
This document contains a table with percentiles for the chi-squared distribution across various degrees of freedom (g.l.) and significance levels. It shows the critical value needed to reject the null hypothesis for different sample sizes and confidence levels in chi-squared tests of independence and goodness of fit.
This document summarizes budget allocations to national universities in Argentina between January 1st and July 31st 2013. It provides details of approved credits, salaries, agreements and other expenses for each university. The total approved credits for all universities was over 21 billion Argentine pesos, of which over 11.5 billion was allocated for salaries. Over 63% of total program funds were executed in transfers to the universities.
This document contains a table showing future value factors for uniform series of posticipated payments at interest rates ranging from 1% to 15% per period over periods of 1 to 33. The future value factor, denoted Sn,i, is calculated as [(1+i)^n] - 1)/i, where n is the number of periods and i is the interest rate per period.
Te dhena statistikore dhe analiza e tyre.Arsi Gest
This document contains population statistics for Kosovo from 2012 to 2015, divided into age groups for males and females in both urban and rural areas. The urban population increased slightly from 1,575,566 in 2012 to 1,654,797 in 2015. The rural population decreased slightly from 1,326,624 in 2012 to 1,238,208 in 2015. Overall the total population of Kosovo decreased slightly from 2,902,190 in 2012 to 2,893,005 in 2015. Tables and charts are provided to show the population numbers for each age group and year.
This document summarizes the results of a corn hybrid trial conducted in Francesville, IN in 2011. Twenty-seven hybrids were planted and evaluated for traits such as yield, moisture, test weight, and lodging. The top yielding hybrid was VYP315 with 5,476 pounds per acre. Other top performers were VYP313, AP6003, AP8202, and AG802. The trial provides a comparison of hybrid performance under the growing conditions experienced in 2011.
The document contains a table of numbers organized in rows and columns. The first column contains probability values from 0.1 to 0.005 decreasing by factors of 2. The remaining columns contain sets of numbers that decrease as the probability values decrease.
I. International tourist arrivals to Cambodia in January to May 2012 totaled 1,505,734, a 26.3% increase from 2011.
II. The majority (50.6%) arrived by land and waterways, while 49.4% arrived by air. The top two markets were Vietnam and South Korea.
III. Siem Reap Province saw the largest increase, with arrivals up 38.2% compared to Phnom Penh and other destinations which rose 10.5%.
The table provides critical values for the Pearson chi-squared test (χ2) based on the level of significance and degrees of freedom (k). The higher the value of k and the lower the significance level, the higher the critical value. For example, with k=10 and a significance level of 5%, the critical value is 18.307.
Tabla de comparacion pago de pmg 2020 completamarcosroa2
The document provides a table comparing the payment amounts for different positions in municipal government considering 100% compliance. It lists the base salary, various allowances and bonuses provided by different laws, quarterly and monthly assignment amounts, and the total compensation for various positions like alderman, director, professional, and technician of different levels from 1 to 12 or 15. It also shows the difference in total compensation before and after deductions provided by laws 19553 and 19553.
This document contains trigonometric functions (sine, cosine, tangent, cotangent, secant, cosecant) with their corresponding degree and radian values from 0 to 45 degrees. It shows how the trig functions change as the degree and radian values increase from 0 to 45 degrees.
This document provides funding allocation amounts from three sources (FPM, FUNDEB, FUS) for municipalities in the state of Maranhão, Brazil for the month of January. It lists the municipality name and the amounts allocated from each funding source, as well as total amounts. The document also notes residual funding amounts from 2017. In total, funding allocation amounts for dozens of municipalities are provided for three dates in January 2018.
- Turkish citrus exports from January to May 2015 totaled 581,577 metric tons valued at $311.5 million, representing a 5% decrease in amount and 14% decrease in value compared to the same period in 2014.
- The top importing countries in this period were Russia, Iraq, Ukraine, Saudi Arabia, and Romania. Russia had the largest increase of 32% in amount and 22% in value.
- Mandarins were the most exported citrus fruit from Turkey in this period at 41% of the total amount and value, followed by lemons at 29% of amount and 32% of value.
Matthew Professional CV experienced Government LiaisonMattGardner52
As an experienced Government Liaison, I have demonstrated expertise in Corporate Governance. My skill set includes senior-level management in Contract Management, Legal Support, and Diplomatic Relations. I have also gained proficiency as a Corporate Liaison, utilizing my strong background in accounting, finance, and legal, with a Bachelor's degree (B.A.) from California State University. My Administrative Skills further strengthen my ability to contribute to the growth and success of any organization.
Genocide in International Criminal Law.pptxMasoudZamani13
Excited to share insights from my recent presentation on genocide! 💡 In light of ongoing debates, it's crucial to delve into the nuances of this grave crime.
Lifting the Corporate Veil. Power Point Presentationseri bangash
"Lifting the Corporate Veil" is a legal concept that refers to the judicial act of disregarding the separate legal personality of a corporation or limited liability company (LLC). Normally, a corporation is considered a legal entity separate from its shareholders or members, meaning that the personal assets of shareholders or members are protected from the liabilities of the corporation. However, there are certain situations where courts may decide to "pierce" or "lift" the corporate veil, holding shareholders or members personally liable for the debts or actions of the corporation.
Here are some common scenarios in which courts might lift the corporate veil:
Fraud or Illegality: If shareholders or members use the corporate structure to perpetrate fraud, evade legal obligations, or engage in illegal activities, courts may disregard the corporate entity and hold those individuals personally liable.
Undercapitalization: If a corporation is formed with insufficient capital to conduct its intended business and meet its foreseeable liabilities, and this lack of capitalization results in harm to creditors or other parties, courts may lift the corporate veil to hold shareholders or members liable.
Failure to Observe Corporate Formalities: Corporations and LLCs are required to observe certain formalities, such as holding regular meetings, maintaining separate financial records, and avoiding commingling of personal and corporate assets. If these formalities are not observed and the corporate structure is used as a mere façade, courts may disregard the corporate entity.
Alter Ego: If there is such a unity of interest and ownership between the corporation and its shareholders or members that the separate personalities of the corporation and the individuals no longer exist, courts may treat the corporation as the alter ego of its owners and hold them personally liable.
Group Enterprises: In some cases, where multiple corporations are closely related or form part of a single economic unit, courts may pierce the corporate veil to achieve equity, particularly if one corporation's actions harm creditors or other stakeholders and the corporate structure is being used to shield culpable parties from liability.
सुप्रीम कोर्ट ने यह भी माना था कि मजिस्ट्रेट का यह कर्तव्य है कि वह सुनिश्चित करे कि अधिकारी पीएमएलए के तहत निर्धारित प्रक्रिया के साथ-साथ संवैधानिक सुरक्षा उपायों का भी उचित रूप से पालन करें।
Guide on the use of Artificial Intelligence-based tools by lawyers and law fi...Massimo Talia
This guide aims to provide information on how lawyers will be able to use the opportunities provided by AI tools and how such tools could help the business processes of small firms. Its objective is to provide lawyers with some background to understand what they can and cannot realistically expect from these products. This guide aims to give a reference point for small law practices in the EU
against which they can evaluate those classes of AI applications that are probably the most relevant for them.
Sangyun Lee, 'Why Korea's Merger Control Occasionally Fails: A Public Choice ...Sangyun Lee
Presentation slides for a session held on June 4, 2024, at Kyoto University. This presentation is based on the presenter’s recent paper, coauthored with Hwang Lee, Professor, Korea University, with the same title, published in the Journal of Business Administration & Law, Volume 34, No. 2 (April 2024). The paper, written in Korean, is available at <https://shorturl.at/GCWcI>.
Defending Weapons Offence Charges: Role of Mississauga Criminal Defence LawyersHarpreetSaini48
Discover how Mississauga criminal defence lawyers defend clients facing weapon offence charges with expert legal guidance and courtroom representation.
To know more visit: https://www.saini-law.com/
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