IV. Human Development

1. Poverty And Health

People Living with HIV

Indicator name: People Living with HIV Indicator name at source (if different): Prevalence of HIV, total (% of population ages 15-49)Data provider: The International Bank for Reconstruction and Development,The World Bank (WB)Data source: UNAIDS and WHO via The World Development Indicators online (WDI)Publication years used in the IIAG: 2000-2007

Incidence of TB

Indicator name: Incidence of Tuberculosis Indicator name at source (if different):Incidence of Tuberculosis (per 100,000 people)Data provider: The International Bank for Reconstruction and Development, The World Bank (WB)Data source: WHO via The World Development Indicators online (WDI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2000-2007

Child Mortality

Indicator name: Child MortalityIndicator name at source: Under five mortality rate (per 1,000 live births)Data provider: Inter-Agency Group for Child Mortality Estimation (IGME). The members of this Inter-Agency Group are: UNICEF, WHO, The World Bank, and The UN Population Division.Data source: childmortality.org, Child Mortality Estimates InfoPublication years used in the Ibrahim Index of African Governance (IIAG): 2006 and 2008
Immunisation (Measles and DPT)

Clustered indicator name: Immunisation (Measles and DTP) Variable names:Immunisation, Measles (% of children aged 12-23 months); Immunisation, DTP (% of children aged 12-23 monthsData provider: The International Bank for Reconstruction and Development, The World Bank (WB)Data source: WHO and UNICEF via The World Development Indicators online (WDI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2000-2007
Welfare Regime

Indicator name: Welfare RegimeData provider: Bertelsmann Foundation Data source:Bertelsmann Transformation Index (BTI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2006 and 2008
Policies for Social Protection and Labour

Indicator name: Policies for Social Protection and LabourIndicator name at source (if different): Social Protection and LabourData Provider: The International Bank for Reconstruction and Development,The World Bank (WB); African Development Bank (AfDB)Data Source: IDA Resource Allocation Index, IRAI (WB); Country Performance Assessment, CPA (AfDB)Publication years used in the Ibrahim Index of African Governance (IIAG): IRAI (WB) 2005-2008; CPA (AfDB): 2005, 2007 and 2008
Degree of Social Exclusion

Indicator name: Degree of Social ExclusionIndicator name at source (if different): Socio-Economic BarriersData provider: Bertelsmann FoundationData source: Bertelsmann Transformation Index (BTI)Publication years used in the Ibrahim Index of African Development (IIAG): 2006 and 2008
2. Education
Provision and Quality

Indicator name: Education Provision and QualityIndicator name at source (if different): Education/ R&DData provider: Bertelsmann FoundationData source: Bertelsmann Transformation Index (BTI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Ratio of Pupils to Teachers in Primary School

Indicator name: Ratio of Pupils to Teachers in Primary SchoolIndicator name at source (if different): Pupil-teacher Ratio, PrimaryData provider: International Bank for Reconstruction and Development, The World Bank (WB)Data source: UNESCO via The World Development Indicators online (WDI)Publication years used in the Ibrahim Index of African Government (IIAG): 2000-2008
Primary School Completion Rate

Indicator name: Primary School Completion Rate Indicator name at source (if different): Data provider: The International Bank for Reconstruction and Development, The World Bank (WB) Data source:UNESCO via The World Development Indicators online (WDI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2000-2008
Progression to Secondary School

Indicator name: Progression to Secondary SchoolIndicator name at source (if different): Progression to Secondary School (%)Data provider: The International Bank for Reconstruction and Development, World Bank (WB)Data source: UNESCO via The World Development Indicators online (WDI)Publication years used in the IIAG of African Governance (IIAG): 2000-2008Tertiary Enrollment Rates
Tertiary Enrollment Rates

Indicator name: Tertiary Enrolment RatesIndicator name at source (if different): School Enrolment, Tertiary (% gross)Data provider: The International Bank for Reconstruction and Development, The World Bank (WB)Data source: UNESCO via The World Development Indicators online (WDI)Publication years used in the Ibrahim Index of African Governance (IIAG): 2000-2008
Who is Responsible

A. Poverty

Council of Minsters responsible to poverty redaction and economic development
Parilament Standing Committee

Ministry of Economic Development

B. Health and Sanitation
Cabinate Minsters
Inall the 9 regions, and Addis Ababa and Dere Dawa there are no profile and credntial of health officers of the Ministry and the regioninal health officials responsible for the health of the nation and their credential; none have official website except Tigriy Health Bureau http://www.trhb.gov.et/ . For example, the website for health policy is not accessable.
Note: It is important to note the Ministry have two dozen foreign doners according to the website , with all the funding and the support from outside world the record speaks volume how poorly the agency is run in regard to the health of the population.
States Misnters

C. Educational Opportunity
Cabinate Minsters

Dr Sintayehu Woldemiceal; (Photo) Ministry of Education official website www.moe.gov.et/ the link is broken, as many links are in the country.
Mufriat Kamile (photo) Min. of Women Affair
State Minster
DEMEKE Mekonnen (Photo) State Minister Education,
Wondwossen Kiflu (Photo) State Min. of Education

Others

III. Sustainable Economic Opportunity

Sustainable Economic Opportunity

Wealth Creation

1.
GDP per capita based on purchasing power parity (PPP), using new estimates from the International Comparison Program, as compiled by the World Bank's World Development Indicators (WDI) 2008.1
2.
Economic growth, measured in terms of annual percentage changes in GDP per capita, using 2008 WDI figures.2
Macoeconomic Stability and Financial Integrity
1.
Annual inflation rates, using data from the International Monetary Fund's World Economic Outlook (April 2008).
2.
Government budget deficits and surpluses as a percentage of GDP, as a percentage of GDP, using data derived from the African Development Bank's Selected Statistics on African Countries 2008.
3.
Reliability of financial institutions, based on "Contract Intensive Money (CIM)," an indicator developed by Clague, Keefer, Knack, and Olsen to measure the extent to which money is held in bank deposits, etc. (suggesting higher reliability), rather than currency (suggesting lower reliability).3 Figures for each country are estimated by us, using data from the IMF's International Financial Statistics.4 (See the detailed definition and explanation in the note on this indicator.)
4.
The overall business environment, using as an indicator the number of days necessary to start a business. Figures are drawn from the World Bank's Doing Business surveys.

The Arteries of Commerce

1. The density of a nation's paved road network per 1,000 people from the International Road Federation, IRF World Road Statistics 2007 (Data 2000 to 2005) (Geneva, 2007) and IRF World Road Statistics 2005 (Data 1999 to 2003) (Geneva, 2005), along with our own Index of African Governance research in each country.
2.
Electricity capacity, measured in terms of total installed capacity per capita (in kilowatts). Data are drawn from the U.S. Energy Information Administration's International Energy Annual 2005, which was released June-October 2007 (the latest available).
3.
Telephone subscribers (fixed/land lines and mobile) per 100 inhabitants, based on estimates from the International Telecommunication Union.
4.
Computer users per 100 inhabitants, based on estimates from the International Telecommunication Union.
5.
Internet users per 100 inhabitants, based on estimates from the International Telecommunication Union.

Environmental Sensitivity

1.
As estimated by the 2008 Environmental Performance Index, developed by Daniel C. Esty, M.A. Levy, C.H. Kim, A. de Sherbinin, T. Srebotnjak, and V. Mara, and published by the Yale Center for Environmental Law and Policy.5 The EPI is a composite index that assesses performance on two broad goals: (1) reduction of environmental stresses on human health; and (2) promotion of ecosystem vitality and natural resource management. It is based on twenty-five indicators in six policy areas: Environmental Health, Air Quality, Water Resources, Biodiversity and Habitat, Productive Natural Resources, and Climate Change.

Who Is Responsible?

Prime Minster Office no offical website is found
Newaye-Kiristos Gebre-Ab, (photo) Economic Advisor to the Prime Minister with the rank of Minister control, monitor, supervise and run all Ministeries associated with economic matters, in particular the Ministries of Finance, Revenue, Trade and Industry, Transportation, Mines and Energy etc. etc. Sufian Ahmed, Minister Finance and Economic Development,; Melaku Fenta, Minister of Revenue, Girma Biru, Minister of Trade and Industry; Junedi Sado, Minister of Transport and Communications, Alemayehu Tegenu, Minister Mines and Energy; report to Newaye-Kristos Gebre-Ab.

Parliament offical website www.ethiopar.net/

Trade and Industry Affairs Standing Committee
no official website and credential of the officers found

Kebede Abera; (photo) Chairman
Ayele Siyoum; (Photo) Deputy Chairman

Capacity Building Affairs Standing Committee, no official website and credential of officers found

Takel Tessema; (Photo) Chairman
Adulwase Abdulahi; (photo) Deputy Chairman


Rural Development Affairs Standing Committee, no offal website or profile and credential of officers found

Ababi Demisie, (Photo) Chairman
Godi Baykeda, (Photo) Deputy Chairman


Infrastructure Affairs Standing Committee,
no official website or profile and credential of officers found

Wubneh Fmiru; (Photo) Chairman
Ali Mohamed; (Photo) Deputy Chairman


Ministers

Tefera Deribew; (Photo) Min. of Agriculture & Rural Development, no official website or credential of officers found. e.mail is listed as moav@telecom.net.et from WB African development info

Gerachew Teklemedhin; (photo) Vice Min. of Agriculture & Rural Development

Tekalign Mamo; (photo) Vice Min. of Agriculture & Rural Development

Sufian Ahmed; (photo) Min. of Finance & Economic Development
www.mofaed.org/Default.asp
note: no profile or credential of the Minister was found, link is slow and dysfunctional. no other department official profile are available. noting resembling economic development information is posted on the main page.

Girma Birrue; (Photo) Min. of Trade & Industry, No official website was found
and he is also the Board of Director of Ethiopia electric power corporation
www.eepco.gov.et/

Tefera Walwa; (Photo) Min. of Capacity Building no official website is found but this website talks about some of the mistry activity www.ucbp-ethiopia.com/ it appears the website is run by donors.

Junedin Sado; (Photo) Min. of Science & Technology no official website or credential of the Minster was found, the website is the same as Ethiopian telecommunication corporation www.estc.gov.et/,
Note: it the only Science & technology Minstery with no offcial website of its own.

Deriba Kuma; (Photo) Min. of Transport & Communications www.motac.gov.et/Links.htm no profile of the Minster and his credential was found.
Amare Amsalu; (Photo) Ethiopian Telecommunications Corporation, under the Min of transport & communication www.ethionet.et/index.php , no profile and credential of officers was found on the official website.
Asfaw Dingamo; (Photo) Min. of Water Resources www.mowr.gov.et/ no Profile or crdential of the Minster is posted on the offical website.

Kassu Illala; (Photo) Min. of Works & Urban Development, no official website was found, he is also the board of director of the Ethiopian Electric and Power corp.
www.eepco.gov.et/profile.html
Some info was found on UNDP project with the Minstry

Ethiopian enivronment protection agency www.epa.gov.et/

Other Agencies

Abi Woldemeskel, (photo) Director-general-Ethiopian Investment Agency
www.ethiomarket.com/eic/ no official website, no profile of the manager[s] or their credentials was found.

note: www.ethiomarket.com/ is a privately register website in the USA that runs the investment agency. No contact number or identifiable person[s] was found. The unknown individual [s] who run the agaency website and how they are given the responsibility of running this very important public agency website where all foreign investors rely on, and their relationship with the Director need further investigation and accountability. It appears a group of rogue individuals are channeling foreign investment inquires with a permision of the officials.

Debretsion G/Michaele (photo) Ethiopian Information and communication Technology Development Agency www.eictda.gov.et/
No name of manager[s] was found The ethiopian Electricity Agency www.ethioelectricagency.org/index.html an agency under the Minstriy of infurastructure.

Dr Eleni Gebre Medhin; (photo) CEO Ethiopian Commodity Exchange www.ecx.com.et/
Note:ECX claimes "a public-private partnership enterprise owned by the goverment of Ethiopia" the Prime Minster oversee the exchange along his minsters. No other sources to verfiy the detail are found at this time.

II. Participation and Human Rights

Participation and Human Rights (Source: Mo Ibrahim foundation)
Participation in Elections

1.
Free and fair executive elections, i.e., was the current head of state elected through free and fair elections? Our assessment is based on whether official international observer missions judge these elections to be "free and fair," whether they judge them to be basically free and fair but highlight some significant problems, or whether they refuse to recognize their results. A score of "2" indicates fully free and fair; "1" indicates partially free and fair; and "0" indicates not free and fair.1 Countries in which the current head of state did not come to power through elections are also assigned a "0."2 Further details can be found in the descriptive notes to this indicator.
2.
Participation of the opposition in executive elections, i.e., were these executive elections contested by the main opposition actors? A score of "1" indicates yes and "0" indicates no.
3.
Free and fair legislative elections, i.e., was the current legislature elected through free and fair elections? As for executive elections, a score of "2" indicates fully free and fair;"1" indicates partially free and fair; and "0" indicates not free and fair.3
4.
Participation of the opposition in legislative elections, i.e., were these legislative elections contested by the main opposition parties? A score of "1" indicates yes and "0" indicates no.
Non-electoral forms of political participation are also essential to good governance. Many aspects of non-electoral participation are addressed here under the sub-category of Respect for Civil and Political Rights. Readers might also refer to the many studies cited at the bottom of this section for more information on other aspects of participation.

Respect for Civil and Political Rights

It is difficult to measure all outcomes on human rights protection and promotion, and there are limited data available and comparable for all forty-eight countries of sub- Saharan Africa.4 This section uses the most comprehensive, reliable data of which we are aware, drawn from the Cingranelli-Richards (CIRI) Human Rights Dataset (David L. Cingranelli and David L. Richards, The Cingranelli-Richards (CIRI) Human Rights Data Project, Version 2008.03.12, 2008, available at
www.humanrightsdata.org). In addition, this section draws on information from Reporters Without Borders. In selecting these sources, we reviewed numerous others, many of which are described below and in the descriptive notes on each indicator.
1.
Respect for physical integrity rights (absence of extrajudicial killing, disappearances, torture, and political imprisonment), based on the "Physical Integrity Rights Index" of the Cingranelli-Richards (CIRI) Human Rights Dataset 2008. Scores in the "Physical Integrity Rights Index" range from a low of 0 to a possible high of 8, where "0" is no respect. Scores are based on a systematic annual coding for each country, using information from the U.S. State Department Country Reports on Human Rights Practices and Amnesty International's Annual Report for the years in question.
2.
Respect for civil rights (freedom of movement, political participation, worker's rights, freedom of speech, freedom of religion, and freedom of assembly), based on the "Empowerment Rights Index" and the indicator on Freedom of Assembly and Association from the Cingranelli-Richards (CIRI) Human Rights Dataset 2008. Scores range from 0 to 12, where "0" is no respect. Scores are based on a systematic annual coding for each country, using detailed country summaries in the annual U.S. State Department Country Reports on Human Rights Practices. Despite the wealth of information on human rights in selected contexts, the relatively complete and comparable coverage of all countries provided by the U.S. State Department reports is unique. No other source anywhere is as comprehensive. The Country Reports, developed on the basis of overseas embassy gleaning of local press and other reports, are hundreds of pages long, and factual, not prescriptive. The CIRI team has also done extensive research into alternative sources.5
3.
Press Freedom Index, from Reporters Without Borders (with technical assistance from the Statistics Institute of the University of Paris). The index scores are based on a survey of partner organizations, journalists, and others, highlighting fifty criteria. In the raw scores used in the Index of African Governance, low figures indicate a freer press and higher scores, a less free press.
4.
Women's Rights. Gender discrimination affects both men and women. Given the limits of available data, however, the Index focuses on discrimination against women, who are generally more affected.6 This indicator is based on the combined scores of the Women's Economic Rights, Women's Political Rights, and Women's Social Rights scores of the CIRI Human Rights Data set 2008.7 Possible scores range from 0 (no rights in any of the three areas) to 9 (all or nearly all rights in all three areas). Scores are based on a systematic coding of information contained in the U.S. State Department Country Re

Who is Responsible?

A. Participation in the election (transparent election -Elation board

Cabinet

Parliament standing committee

State Minsters

Agencies

Ethiopian election Board: http://www.electionsethiopia.org/Index.html
Mr Kemal Bedri Kelo; Chairman of the board (photo)
Abdella Adem; Member (Photo)
Girma Jarso; Member (Photo)
Kebedech Erdachew Mamuye; Member (Photo)
Dr Tadios Munie; Member (photo)
Tesfaye Mengesha Abegaz; Member (Photo)

Note: The election board of the country’s website is run by Atnafseged Mahdere, Registrant Organization:Afrolink Studio Street 1:4921 Seminary Road Apt1416 City: Alexandria State/Province:VA Postal Code:22311 Country: US Registrant Phone:+1.2404634584 Phone Ext.:Registrant FAX:+1.0 FAX Ext.:Registrant Email:togi@afrolinkstudio.com Source networksolutions.
Afrollink studio is a web design service http://afrolinkstudio.com/ located at Comet Building , 4th Floor, 401 (next to Axum Hotel) in Addis Ababa and US represntaive Atnafseged (Togi) MahdereTel. 001-240-463-4584 according to it's website. e-mail: togi@afrolinkstudio.com

B.Respect for Civil and political Right (Physical integrity rights, Civil right, Press freedom and women rights
Cabinet

Parliament Standing committee

States Minster

Agencies

Ethiopian Human Rights Commission (EHRC) www.ehrc.org.et/
Kassa G/Hiwot(Dr) (Photo) Chief Commissioner
Domoze Mamme (Photo) Deputy Commissioner for Human Rights
Getahun Kassa (Photo) Excutive Dirctor (Photo)
Mrs. Yeshihareg Damete (Photo) Deputy Human Rights Commissioner for Children and Womens Affairs

I. Safety and Rule of Laws


Domestic Armed Conflict

Indicator name: Domestic Armed ConflictIndicator name at source (if different): Domestic Armed Conflict (both internal conflict and/or civil war, but excluding cross-border conflict)Data provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the level of domestic armed conflict existing in a country, or of the likelihood of conflict developing in the near future. Domestic armed conflict is defined as internal conflict and/or civil war, but excludes cross-border conflict. Types and levels of conflict in a country are: no conflict with a low risk of conflict developing; sporadic conflict (isolated outbreaks of opposition violence despite firm government control); incursional conflict (firm government control with frequent armed incursions by the opposition); and territorial conflict (opposition has effective control over a region or regions).
Technical notes:
This indicator’s raw data range from 0 to 100 with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.

Government Involvement in Armed Conflict

Indicator name: Government Involvement in Armed ConflictData provider: Uppsala Conflict Data Program (UCDP)Data source: Coded by The Mo Ibrahim Foundation using UCDP’s Armed Conflict Dataset v4-2009Publication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of whether the government is party to armed conflict. Armed conflict is defined as an incompatibility between two sides in which the use of armed force results in 25 or more battle deaths in a year. Government involvement can either be as a primary party to the incompatibility, or as a secondary party, which shares the incompatibility with one of the primary parties in the conflict and actively supports them with troops.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/Codebook_UCDP_PRIO%20Armed%20Conflict%20Dataset%20v4_2009.pdf
Technical notes:
This indicator has been scored by the IIAG team using UCDP’s Armed Conflict Dataset.
This indicator’s raw data range from 0 to 5, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the ‘Armed Conflict Dataset v4’ reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Coding of Indicator
The data have been coded by the IIAG team on the following basis:
Primary Party: If a government was involved as a ‘Primary Party’ in an Armed Conflict in either Interstate (Government vs. Government) or Intrastate (Government vs. in country group), then the country was given a score of 2. If a Government was involved as a ‘Primary Party’ in more than one conflict in a given year, then these primary involvements were added together to obtain the final score for this component.
Secondary Party: If a Government was involved as a ‘secondary party’ in an armed conflict (either on side A or Side B), either in an interstate or intrastate conflict, then the country was given a score of 1. If a Government was involved as a ‘Secondary Party’ in more than one conflict in a given year, then these secondary involvements were added together to obtain the final score in this component.
Scores from Primary and Secondary Involvement in Armed Conflict were then added together for all years, and were subsequently normalised.

Battle deaths (civilian and combatants)

Indicator name: Battle Deaths (Civilian and Combatants)Indicator name at source (if different): Battle-Related Deaths (Best Estimate); Non-State Conflict (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: Battle Deaths and Non-State ConflictPublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of the number of battle deaths resulting from war, minor conflict and non-state violence, based on verifiable data. Although targets may often be the military and its installations or state institutions and representatives, there is often substantial collateral damage such as civilians being killed in crossfire or indiscriminate bombings. All deaths - military as well as civilian - incurred in such situations, are counted as battle-related deaths.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Battle-related%20deaths%20dataset%20codebook%20v5%202009.pdf
and
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Non-state%20conflict%20Dataset%20Codebook%20v2.1.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of battle deaths, figures for ‘battle deaths’ in war and minor conflict and ‘non-state violence’ were added together. The raw data were then transformed using the total country population, to calculate the number of battle deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 49.1, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to the 2007/08 in the IIAG.
Data for 2000/2001 has not been used as per advice from the source.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Civilian Deaths from Civilian-Targeted Violence
Indicator name: Civilian Deaths from Civilian-Targeted ViolenceIndicator name at source (if different): One-Sided Violence (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: One-Sided ViolencePublication years used in the Ibrahim Index for African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Definition of the indicator:
An expert assessment of the number of civilian deaths that occur from the use of armed force by the government of a state or by a formally organised group, targeted specifically at civilians and which results in at least 25 deaths in a year. Extrajudicial killings in custody are excluded.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20One-sided%20violence%20Dataset%20Codebook%20v1.3.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of civilian deaths were transformed using the total country population to calculate the number of civilian deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 0.8, with a low score being best and a high score being worst. To produce the IIAG score the raw data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Refugees from the Country
Indicator name: Refugees from the CountryIndicator name at source (if different): RefugeesData provider: United Nations High Commission for Refugees (UNHCR) Data source:UNHCR Statistical Online Population DatabasePublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.unhcr.org/pages/4a013eb06.html
Indicator definition:
Official data measuring the number of refugees originating from a country based on data from governmental agencies, UN Refugee Agency (UNHCR) offices and non-governmental organisations.
For details of the methodology, please see technical notes and:
http://www.unhcr.org/45c06c662.html
Technical notes:
Estimates of absolute numbers of refugees were transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0.1 to 3284.9, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UNHCR statistical online population database reflects figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were “fixed” for outliers in the IIAG. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:

All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Internally Displaced Persons
Indicator name: Internally Displaced PersonsData provider: Internal Displacement Monitoring Centre (IDMC); U.S. Committee for Refugees and Immigrants (USCRI)Data source: ‘Internal displacement: A Global Overview of Trends and Development’ (IDMC); Country Specific Internally Displaced Profile Reports (IDMC); World Refugee Survey (USCRI)Publication years used in the Ibrahim Index of African Governance (IIAG):IDMC ‘Internal Displacement: A Global Overview of Trends and Development’ (2003-2008)IDMC ‘Country Specific Internally Displaced Profile Reports’ (2001-2008)USCRI ‘World Refugee Survey’ (2002-2004)
Websites:
http://www.internal-displacement.org/
and
http://www.refugees.org/article.aspx?id=2324&subm=179&area=About%20Refugees
Indicator definition:
Official data estimating the absolute numbers of internally displaced persons (IDPs), including those displaced within and outside camps.
For details of the methodology, please see technical notes and:
http://www.internal-displacement.org/idp
and
http://www.refugees.org/FTP/WRS09PDFS/RefuandAsylumseek.pdf
Technical notes:
Data were collected on the basis of a calendar year.
If there was more than one estimate of IDP numbers in a calendar year then the later estimate was used.
If the only estimate available was a range, the figure used was the average of the two figures given.
USCRI data were used if no figure or range was available from IDMC reports.
An ‘..’ value means that IDMC or USCRI reported internally displaced persons in that country for that year, but a reliable estimate was not available.
Absolute estimates of internally displaced persons were then transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 5,600.05, with a low score being best, and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in IDMC reports reflect figures from that same year. The USCRI ‘World Refugee Survey’ publication reflects data for the previous year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
International Tensions
Indicator name: International TensionsIndicator name at source (if different): Presence of Cross-Border Tensions that could lead to Conflict or SanctionsData provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the potential threat to a country’s economic and political stability posed by the presence of international cross-border tensions which have the potential to lead to conflict or sanctions.
Technical notes:
This indicator’s raw data range from 0 to 100, with a low score being best and a high score being worst. To produce the IIAG score, the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.

Battle deaths (civilian and combatants)
Indicator name: Battle Deaths (Civilian and Combatants)Indicator name at source (if different): Battle-Related Deaths (Best Estimate); Non-State Conflict (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: Battle Deaths and Non-State ConflictPublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of the number of battle deaths resulting from war, minor conflict and non-state violence, based on verifiable data. Although targets may often be the military and its installations or state institutions and representatives, there is often substantial collateral damage such as civilians being killed in crossfire or indiscriminate bombings. All deaths - military as well as civilian - incurred in such situations, are counted as battle-related deaths.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Battle-related%20deaths%20dataset%20codebook%20v5%202009.pdf
and
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Non-state%20conflict%20Dataset%20Codebook%20v2.1.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of battle deaths, figures for ‘battle deaths’ in war and minor conflict and ‘non-state violence’ were added together. The raw data were then transformed using the total country population, to calculate the number of battle deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 49.1, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to the 2007/08 in the IIAG.
Data for 2000/2001 has not been used as per advice from the source.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).

Civilian Deaths from Civilian-Targeted Violence

Indicator name: Civilian Deaths from Civilian-Targeted ViolenceIndicator name at source (if different): One-Sided Violence (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: One-Sided ViolencePublication years used in the Ibrahim Index for African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Definition of the indicator:
An expert assessment of the number of civilian deaths that occur from the use of armed force by the government of a state or by a formally organised group, targeted specifically at civilians and which results in at least 25 deaths in a year. Extrajudicial killings in custody are excluded.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20One-sided%20violence%20Dataset%20Codebook%20v1.3.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of civilian deaths were transformed using the total country population to calculate the number of civilian deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 0.8, with a low score being best and a high score being worst. To produce the IIAG score the raw data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Refugees from the Country
Indicator name: Refugees from the CountryIndicator name at source (if different): RefugeesData provider: United Nations High Commission for Refugees (UNHCR) Data source:UNHCR Statistical Online Population DatabasePublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.unhcr.org/pages/4a013eb06.html
Indicator definition:
Official data measuring the number of refugees originating from a country based on data from governmental agencies, UN Refugee Agency (UNHCR) offices and non-governmental organisations.
For details of the methodology, please see technical notes and:
http://www.unhcr.org/45c06c662.html
Technical notes:
Estimates of absolute numbers of refugees were transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0.1 to 3284.9, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UNHCR statistical online population database reflects figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were “fixed” for outliers in the IIAG. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:

All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Internally Displaced Persons
Indicator name: Internally Displaced PersonsData provider: Internal Displacement Monitoring Centre (IDMC); U.S. Committee for Refugees and Immigrants (USCRI)Data source: ‘Internal displacement: A Global Overview of Trends and Development’ (IDMC); Country Specific Internally Displaced Profile Reports (IDMC); World Refugee Survey (USCRI)Publication years used in the Ibrahim Index of African Governance (IIAG):IDMC ‘Internal Displacement: A Global Overview of Trends and Development’ (2003-2008)IDMC ‘Country Specific Internally Displaced Profile Reports’ (2001-2008)USCRI ‘World Refugee Survey’ (2002-2004)
Websites:
http://www.internal-displacement.org/
and
http://www.refugees.org/article.aspx?id=2324&subm=179&area=About%20Refugees
Indicator definition:
Official data estimating the absolute numbers of internally displaced persons (IDPs), including those displaced within and outside camps.
For details of the methodology, please see technical notes and:
http://www.internal-displacement.org/idp
and
http://www.refugees.org/FTP/WRS09PDFS/RefuandAsylumseek.pdf
Technical notes:
Data were collected on the basis of a calendar year.
If there was more than one estimate of IDP numbers in a calendar year then the later estimate was used.
If the only estimate available was a range, the figure used was the average of the two figures given.
USCRI data were used if no figure or range was available from IDMC reports.
An ‘..’ value means that IDMC or USCRI reported internally displaced persons in that country for that year, but a reliable estimate was not available.
Absolute estimates of internally displaced persons were then transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 5,600.05, with a low score being best, and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in IDMC reports reflect figures from that same year. The USCRI ‘World Refugee Survey’ publication reflects data for the previous year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
International Tensions
Indicator name: International TensionsIndicator name at source (if different): Presence of Cross-Border Tensions that could lead to Conflict or SanctionsData provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the potential threat to a country’s economic and political stability posed by the presence of international cross-border tensions which have the potential to lead to conflict or sanctions.
Technical notes:
This indicator’s raw data range from 0 to 100, with a low score being best and a high score being worst. To produce the IIAG score, the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.
--------------------------

Battle deaths (civilian and combatants)

Indicator name: Battle Deaths (Civilian and Combatants)Indicator name at source (if different): Battle-Related Deaths (Best Estimate); Non-State Conflict (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: Battle Deaths and Non-State ConflictPublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of the number of battle deaths resulting from war, minor conflict and non-state violence, based on verifiable data. Although targets may often be the military and its installations or state institutions and representatives, there is often substantial collateral damage such as civilians being killed in crossfire or indiscriminate bombings. All deaths - military as well as civilian - incurred in such situations, are counted as battle-related deaths.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Battle-related%20deaths%20dataset%20codebook%20v5%202009.pdf
and
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Non-state%20conflict%20Dataset%20Codebook%20v2.1.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of battle deaths, figures for ‘battle deaths’ in war and minor conflict and ‘non-state violence’ were added together. The raw data were then transformed using the total country population, to calculate the number of battle deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 49.1, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to the 2007/08 in the IIAG.
Data for 2000/2001 has not been used as per advice from the source.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Civilian Deaths from Civilian-Targeted Violence
Indicator name: Civilian Deaths from Civilian-Targeted ViolenceIndicator name at source (if different): One-Sided Violence (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: One-Sided ViolencePublication years used in the Ibrahim Index for African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Definition of the indicator:
An expert assessment of the number of civilian deaths that occur from the use of armed force by the government of a state or by a formally organised group, targeted specifically at civilians and which results in at least 25 deaths in a year. Extrajudicial killings in custody are excluded.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20One-sided%20violence%20Dataset%20Codebook%20v1.3.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of civilian deaths were transformed using the total country population to calculate the number of civilian deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 0.8, with a low score being best and a high score being worst. To produce the IIAG score the raw data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Refugees from the Country
Indicator name: Refugees from the CountryIndicator name at source (if different): RefugeesData provider: United Nations High Commission for Refugees (UNHCR) Data source:UNHCR Statistical Online Population DatabasePublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.unhcr.org/pages/4a013eb06.html
Indicator definition:
Official data measuring the number of refugees originating from a country based on data from governmental agencies, UN Refugee Agency (UNHCR) offices and non-governmental organisations.
For details of the methodology, please see technical notes and:
http://www.unhcr.org/45c06c662.html
Technical notes:
Estimates of absolute numbers of refugees were transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0.1 to 3284.9, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UNHCR statistical online population database reflects figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were “fixed” for outliers in the IIAG. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:

All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Internally Displaced Persons
Indicator name: Internally Displaced PersonsData provider: Internal Displacement Monitoring Centre (IDMC); U.S. Committee for Refugees and Immigrants (USCRI)Data source: ‘Internal displacement: A Global Overview of Trends and Development’ (IDMC); Country Specific Internally Displaced Profile Reports (IDMC); World Refugee Survey (USCRI)Publication years used in the Ibrahim Index of African Governance (IIAG):IDMC ‘Internal Displacement: A Global Overview of Trends and Development’ (2003-2008)IDMC ‘Country Specific Internally Displaced Profile Reports’ (2001-2008)USCRI ‘World Refugee Survey’ (2002-2004)
Websites:
http://www.internal-displacement.org/
and
http://www.refugees.org/article.aspx?id=2324&subm=179&area=About%20Refugees
Indicator definition:
Official data estimating the absolute numbers of internally displaced persons (IDPs), including those displaced within and outside camps.
For details of the methodology, please see technical notes and:
http://www.internal-displacement.org/idp
and
http://www.refugees.org/FTP/WRS09PDFS/RefuandAsylumseek.pdf
Technical notes:
Data were collected on the basis of a calendar year.
If there was more than one estimate of IDP numbers in a calendar year then the later estimate was used.
If the only estimate available was a range, the figure used was the average of the two figures given.
USCRI data were used if no figure or range was available from IDMC reports.
An ‘..’ value means that IDMC or USCRI reported internally displaced persons in that country for that year, but a reliable estimate was not available.
Absolute estimates of internally displaced persons were then transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 5,600.05, with a low score being best, and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in IDMC reports reflect figures from that same year. The USCRI ‘World Refugee Survey’ publication reflects data for the previous year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
International Tensions
Indicator name: International TensionsIndicator name at source (if different): Presence of Cross-Border Tensions that could lead to Conflict or SanctionsData provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the potential threat to a country’s economic and political stability posed by the presence of international cross-border tensions which have the potential to lead to conflict or sanctions.
Technical notes:
This indicator’s raw data range from 0 to 100, with a low score being best and a high score being worst. To produce the IIAG score, the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.
----------------------------------------

Battle deaths (civilian and combatants)

Indicator name: Battle Deaths (Civilian and Combatants)Indicator name at source (if different): Battle-Related Deaths (Best Estimate); Non-State Conflict (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: Battle Deaths and Non-State ConflictPublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of the number of battle deaths resulting from war, minor conflict and non-state violence, based on verifiable data. Although targets may often be the military and its installations or state institutions and representatives, there is often substantial collateral damage such as civilians being killed in crossfire or indiscriminate bombings. All deaths - military as well as civilian - incurred in such situations, are counted as battle-related deaths.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Battle-related%20deaths%20dataset%20codebook%20v5%202009.pdf
and
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Non-state%20conflict%20Dataset%20Codebook%20v2.1.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of battle deaths, figures for ‘battle deaths’ in war and minor conflict and ‘non-state violence’ were added together. The raw data were then transformed using the total country population, to calculate the number of battle deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 49.1, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to the 2007/08 in the IIAG.
Data for 2000/2001 has not been used as per advice from the source.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Civilian Deaths from Civilian-Targeted Violence
Indicator name: Civilian Deaths from Civilian-Targeted ViolenceIndicator name at source (if different): One-Sided Violence (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: One-Sided ViolencePublication years used in the Ibrahim Index for African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Definition of the indicator:
An expert assessment of the number of civilian deaths that occur from the use of armed force by the government of a state or by a formally organised group, targeted specifically at civilians and which results in at least 25 deaths in a year. Extrajudicial killings in custody are excluded.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20One-sided%20violence%20Dataset%20Codebook%20v1.3.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of civilian deaths were transformed using the total country population to calculate the number of civilian deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 0.8, with a low score being best and a high score being worst. To produce the IIAG score the raw data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Refugees from the Country
Indicator name: Refugees from the CountryIndicator name at source (if different): RefugeesData provider: United Nations High Commission for Refugees (UNHCR) Data source:UNHCR Statistical Online Population DatabasePublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.unhcr.org/pages/4a013eb06.html
Indicator definition:
Official data measuring the number of refugees originating from a country based on data from governmental agencies, UN Refugee Agency (UNHCR) offices and non-governmental organisations.
For details of the methodology, please see technical notes and:
http://www.unhcr.org/45c06c662.html
Technical notes:
Estimates of absolute numbers of refugees were transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0.1 to 3284.9, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UNHCR statistical online population database reflects figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were “fixed” for outliers in the IIAG. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:

All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Internally Displaced Persons
Indicator name: Internally Displaced PersonsData provider: Internal Displacement Monitoring Centre (IDMC); U.S. Committee for Refugees and Immigrants (USCRI)Data source: ‘Internal displacement: A Global Overview of Trends and Development’ (IDMC); Country Specific Internally Displaced Profile Reports (IDMC); World Refugee Survey (USCRI)Publication years used in the Ibrahim Index of African Governance (IIAG):IDMC ‘Internal Displacement: A Global Overview of Trends and Development’ (2003-2008)IDMC ‘Country Specific Internally Displaced Profile Reports’ (2001-2008)USCRI ‘World Refugee Survey’ (2002-2004)
Websites:
http://www.internal-displacement.org/
and
http://www.refugees.org/article.aspx?id=2324&subm=179&area=About%20Refugees
Indicator definition:
Official data estimating the absolute numbers of internally displaced persons (IDPs), including those displaced within and outside camps.
For details of the methodology, please see technical notes and:
http://www.internal-displacement.org/idp
and
http://www.refugees.org/FTP/WRS09PDFS/RefuandAsylumseek.pdf
Technical notes:
Data were collected on the basis of a calendar year.
If there was more than one estimate of IDP numbers in a calendar year then the later estimate was used.
If the only estimate available was a range, the figure used was the average of the two figures given.
USCRI data were used if no figure or range was available from IDMC reports.
An ‘..’ value means that IDMC or USCRI reported internally displaced persons in that country for that year, but a reliable estimate was not available.
Absolute estimates of internally displaced persons were then transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 5,600.05, with a low score being best, and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in IDMC reports reflect figures from that same year. The USCRI ‘World Refugee Survey’ publication reflects data for the previous year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
International Tensions
Indicator name: International TensionsIndicator name at source (if different): Presence of Cross-Border Tensions that could lead to Conflict or SanctionsData provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the potential threat to a country’s economic and political stability posed by the presence of international cross-border tensions which have the potential to lead to conflict or sanctions.
Technical notes:
This indicator’s raw data range from 0 to 100, with a low score being best and a high score being worst. To produce the IIAG score, the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.
-------------------------------------

Battle deaths (civilian and combatants)

Indicator name: Battle Deaths (Civilian and Combatants)Indicator name at source (if different): Battle-Related Deaths (Best Estimate); Non-State Conflict (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: Battle Deaths and Non-State ConflictPublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Indicator definition:
An expert assessment of the number of battle deaths resulting from war, minor conflict and non-state violence, based on verifiable data. Although targets may often be the military and its installations or state institutions and representatives, there is often substantial collateral damage such as civilians being killed in crossfire or indiscriminate bombings. All deaths - military as well as civilian - incurred in such situations, are counted as battle-related deaths.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Battle-related%20deaths%20dataset%20codebook%20v5%202009.pdf
and
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20Non-state%20conflict%20Dataset%20Codebook%20v2.1.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of battle deaths, figures for ‘battle deaths’ in war and minor conflict and ‘non-state violence’ were added together. The raw data were then transformed using the total country population, to calculate the number of battle deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 49.1, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to the 2007/08 in the IIAG.
Data for 2000/2001 has not been used as per advice from the source.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Civilian Deaths from Civilian-Targeted Violence
Indicator name: Civilian Deaths from Civilian-Targeted ViolenceIndicator name at source (if different): One-Sided Violence (Best Estimate)Data provider: Uppsala Conflict Data Program (UCDP)Data source: UCDP Database: One-Sided ViolencePublication years used in the Ibrahim Index for African Governance (IIAG): 2001-2008
Website: http://www.pcr.uu.se/research/UCDP/index.htm
Definition of the indicator:
An expert assessment of the number of civilian deaths that occur from the use of armed force by the government of a state or by a formally organised group, targeted specifically at civilians and which results in at least 25 deaths in a year. Extrajudicial killings in custody are excluded.
For details of the methodology, please see technical notes and:
http://www.pcr.uu.se/publications/UCDP_pub/UCDP%20One-sided%20violence%20Dataset%20Codebook%20v1.3.pdf
Technical notes:
To obtain the raw data for this indicator the total ‘best estimates’ of civilian deaths were transformed using the total country population to calculate the number of civilian deaths per 100,000 people. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 0.8, with a low score being best and a high score being worst. To produce the IIAG score the raw data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UCDP database reflect figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Refugees from the Country
Indicator name: Refugees from the CountryIndicator name at source (if different): RefugeesData provider: United Nations High Commission for Refugees (UNHCR) Data source:UNHCR Statistical Online Population DatabasePublication years used in the Ibrahim Index of African Governance (IIAG): 2001-2008
Website: http://www.unhcr.org/pages/4a013eb06.html
Indicator definition:
Official data measuring the number of refugees originating from a country based on data from governmental agencies, UN Refugee Agency (UNHCR) offices and non-governmental organisations.
For details of the methodology, please see technical notes and:
http://www.unhcr.org/45c06c662.html
Technical notes:
Estimates of absolute numbers of refugees were transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0.1 to 3284.9, with a low score being best and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best possible score.
The years stated in the UNHCR statistical online population database reflects figures in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were “fixed” for outliers in the IIAG. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:

All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
Internally Displaced Persons
Indicator name: Internally Displaced PersonsData provider: Internal Displacement Monitoring Centre (IDMC); U.S. Committee for Refugees and Immigrants (USCRI)Data source: ‘Internal displacement: A Global Overview of Trends and Development’ (IDMC); Country Specific Internally Displaced Profile Reports (IDMC); World Refugee Survey (USCRI)Publication years used in the Ibrahim Index of African Governance (IIAG):IDMC ‘Internal Displacement: A Global Overview of Trends and Development’ (2003-2008)IDMC ‘Country Specific Internally Displaced Profile Reports’ (2001-2008)USCRI ‘World Refugee Survey’ (2002-2004)
Websites:
http://www.internal-displacement.org/
and
http://www.refugees.org/article.aspx?id=2324&subm=179&area=About%20Refugees
Indicator definition:
Official data estimating the absolute numbers of internally displaced persons (IDPs), including those displaced within and outside camps.
For details of the methodology, please see technical notes and:
http://www.internal-displacement.org/idp
and
http://www.refugees.org/FTP/WRS09PDFS/RefuandAsylumseek.pdf
Technical notes:
Data were collected on the basis of a calendar year.
If there was more than one estimate of IDP numbers in a calendar year then the later estimate was used.
If the only estimate available was a range, the figure used was the average of the two figures given.
USCRI data were used if no figure or range was available from IDMC reports.
An ‘..’ value means that IDMC or USCRI reported internally displaced persons in that country for that year, but a reliable estimate was not available.
Absolute estimates of internally displaced persons were then transformed to estimates per 100,000 using total population figures for each country. Population data were obtained from the World Development Indicators (WDI) online.
This indicator’s raw data range from 0 to 5,600.05, with a low score being best, and a high score being worst. To produce the IIAG score the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in IDMC reports reflect figures from that same year. The USCRI ‘World Refugee Survey’ publication reflects data for the previous year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Outliers:
This is one of the 11 indicators that were fixed for outliers in the Ibrahim Index. Analysis indicated that there were extreme values that needed to be filtered so that the results would not be unduly influenced by those extreme values.
The filter fix was as follows:
All observations that lie more than 2.5 trimmed standard deviations from the trimmed mean are replaced with: trimmed mean + 2.6 trimmed standard deviations if they are in the right tail, and trimmed mean -2.6 trimmed standard deviations if they are in the left tail.
The trimmed moments are computed on the 95% central part of the distribution (i.e. removing the bottom 2.5% and top 2.5%).
International Tensions
Indicator name: International TensionsIndicator name at source (if different): Presence of Cross-Border Tensions that could lead to Conflict or SanctionsData provider: The Economist Intelligence Unit (EIU)Data source: Commissioned DataPublication years used in the Ibrahim Index of African Governance (IIAG): 2006-2008
Website: http://www.eiu.com/
Indicator definition:
An expert assessment of the potential threat to a country’s economic and political stability posed by the presence of international cross-border tensions which have the potential to lead to conflict or sanctions.
Technical notes:
This indicator’s raw data range from 0 to 100, with a low score being best and a high score being worst. To produce the IIAG score, the data were normalised using the Min-Max method to transform them to a scale of 0 to 100, where 100 is always the best score possible.
The years stated in the EIU-commissioned data reflect performance in that same year. The latest available data are for 2008, which correspond to 2007/08 in the IIAG.
Data are not available for 2001-2005 and have been estimated using mean substitution and/or extrapolation.

Who is Responsble

Safty and security/public safty

Prime Misnter office no offical website avilable

Meles Zenawi, Prime Minister, (Photo) Commander in Chief of the Ethiopian Armed Forces with General Samora Younis (photo) as his Chief of Staff, has absolute control of the Ethiopian army. Kuma Demekesa, (photo)figurehead Defense Minister.

Mulugeta Alemseged, (photo) a senior member of the TPLF, as National Security Affairs Advisor with the Rank of Minister control, monitor, supervise and run the entire police and security apparatus in Ethiopia.

Cabinate

http://www.mfa.gov.et/index.php

Council of Minsters See Ethio Embassy UK

Note: Due unrealiable sources on who is who in TPLF-EPRDF governement, and many agencies do not have a website of their own, info is fished out of others unrelated agencies and organization

Kuma Demeksa (Photo) Minister of Defense, Offical web www.modhd.gov.et/ link does not work

Siraj Fegisa (photo) Minister Fedral Affair No offical website is found, no profial and credintial of the Minster or the officers are avialable.

Note: it is hard to assertain what the role of the fedral affair Minstry may be due too lack of information.

State Minsters

Sultan Mohamed (photo) and Kashaun Dendir (Photo), State Ministers of Defense.

Fedral Police

Workneh Gebeyehu (photo) the Director General of Federal Police, no offical website is found

Demsach Hailu Sokeperson for Fedral Police

Addis Ababa Police

Regional Police

Fedral Prisons Units