Listening to African Voices - FPZ

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5ResultsThe results chapter is organised into eleven sections:• Immigrant populations from practicing countries in Hamburg(section 5.1);• Theoretical estimations about the numbers of women andgirls concerned in Hamburg (section 5.2);• Samples of the qualitative and quantitative survey (section5.3);• Knowledge, attitudes and practices of immigrant communitiesfrom Sub-Saharan Africa: an overview (section 5.4);• Knowledge, attitudes and practices of communities withmore than 100 immigrants in Hamburg 16 (section 5.5);• Knowledge, attitudes and practices of communities withless than 100 immigrants in Hamburg 16 (section 5.6);• Girls at risk in Hamburg (section 5.7);• Suggestions on how to promote the abandonment ofFGM/C among immigrant populations in Germany (section5.8);• Perceptions and practices regarding health care of Africanwoman immigrants (section 5.9);• Results regarding media preferences of African communities(section 5.10);• Institutions working with African migrant communities inHamburg (section 5.11).The largest immigrant community in Hamburg by far is ofGhanaian origin, followed by those from Togo and Nigeria.The communities from these three countries represent about70% of the immigrant population from Sub-Saharan Africa.The table below displays the number of immigrants disaggregatedby sex for all communities for which DHS or MICSdata on FGM/C rates are available (25 Sub-Saharan countriesplus Egypt and Yemen).Table 2: Number of immigrants registered in Hamburg from FGM/Cpracticing countries 18No Country of origin Men Women Total1 Ghana 2418 2778 51962 Togo 847 684 15313 Egypt 857 392 12494 Nigeria 727 373 11005 Cameroon 270 213 4836 Gambia 333 117 4507 Cote d’Ivoire 250 153 4038 Kenya 77 208 2859 Benin 151 68 21910 Ethiopia 99 99 19811 Burkina Faso 154 36 19012 Sierra Leone 151 34 185The first two sections draw on official data sources and give13 Guinea 122 56 178an overview of how many immigrants from practicing countriesofficially live in Hamburg and how many women and14 Guinea Bissau 104 64 168girls are theoretically concerned when it comes to FGM/C.Section 5.3 to 5.9 explore primarily the data of the qualitativeand quantitative interviews with African communitymembers and other key informants.1516171819LiberiaSenegalNigerMaliSudan847470494146391421201291138470615.1. Overview of immigrant populations from practicingcountries in Hamburg 17According to the documentation of the Statistische Landesamtfür Hamburg und Schleswig Holstein (State Officeof Statistics for Hamburg and Schleswig Holstein), 15,712African immigrants were registered in Hamburg at the endof 2009. Among these 15,712 persons, 12,439 come from20212223242526EritreaTanzaniaUgandaYemenMauritaniaSomaliaChad2221922176330212678615242352925124countries where FGM/C is practiced. This number includes27 Central African Republic 1 0 1immigrants from Egypt and Yemen who were not includedTotal 6979 5514 12439in the current study. The number of immigrants from Sub-Saharan Africa is 11,305.The numbers in the table above include neither Germanpassport holders nor, evidently, men and women residing16 Where the practice of FGM/C is prevalent.17 Only including the countries where DHS or MICS data are available. 18 Where DHS/MICS data for FGM/C rates exist.Listening to African Voices 27
illegally in Hamburg. The table is organised by immigrantcommunity: the one with the largest number of immigrantsat the top (Ghana), with the smallest at the bottom (CentralAfrican Republic). For methodological and logistical reasonsexplained in section 3.3.2, our data collection and analysishad little to no focus on the following countries: Chad, TheCentral African Republic, Yemen, Egypt, the DemocraticRepublic of Congo and Mauritania.According to an empirical study from the Diakonie Hamburg(2009), an estimated 6,000-22,000 persons live in Hamburgwithout legal residence status. The proportion of womenamong them is estimated to be at 45%. The number ofchildren under 16 years without paper is assessed to be inthe range of 240-2,400 persons. The upper limit for illegalresidents from Sub-Saharan Africa is estimated at 2,474 withthe highest proportion coming from Ghana.Table 3: Estimation of women concerned (18+ years) and girls (0-17 years)CountryNr. of women18 years + inHamburgPrevalence (%)women (15-49years in countryof origin)Estimation ofwomen havingundergoneFGM/CGirls < 18 yearsliving inHamburgPrevalenceamong daughtersin countryof origin 19Number of girlsconcerned or atriskGhana 2322 3.8 88 456 3.8 17Togo 448 5.8 26 236 1.0 2Egypt 287 91.1 261 105 57.0 60Nigeria 296 29.6 88 77 29.6 23Cameroon 183 1.4 3 30 1.4 0Gambia 93 78.0 73 24 64.3 15Cote d’Ivoire 110 42 46 43 42 18Kenya 193 27.1 52 15 27.1 4Benin 56 12.9 7 12 3 0Ethiopia 83 74.3 62 16 74.3 12Burkina Faso 23 76.6 18 13 37 5Sierra Leone 21 91.3 19 13 91 12Guinea 46 95.6 44 10 94 9Guinea Bissau 48 44.5 21 16 35 6Liberia 35 58 20 11 58 6Senegal 33 28.2 9 6 24 1Niger 8 2.2 0 6 1.2 0Mali 17 85.2 14 4 82 3Sudan 20 19 90.0 17 1 90.0 1Eritrea 27 88.7 24 3 88.7 3Tanzania 19 14.6 3 2 6.4 0Uganda 23 0.6 0 3 0.6 0Yemen 7 23 2 0 20 0Somalia 6 97.9 6 0 46.0 0Mauritania 6 71.3 4 2 69 1Chad 1 44.9 0 0 39 0Total 4404 n/a 902 1104 n/a 20019 If the prevalence of FGM/C among daughters was not assessedin the DHS or the MICS, we used the prevalence rate of womenbetween 15-49 years and marked the number with an asterisk *20 The prevalence data are only from Northern Sudan and coverabout 80% of the female population28Listening to African Voices
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Page 9 and 10: Within the cohort of daughters of t
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Page 31 and 32: The largest proportions of intervie
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Page 45 and 46: gin of the immigrants (see map in a
Page 47 and 48: of the Muslims believe that practic
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5.7.1. Protective factorsThe findin
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5.7.2.4. Low awareness and indiffer
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“The problem of female circumcisi
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The two remaining gynaecologists ha
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86Listening to African Voices
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and an acceptable job, uniting the
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Daughters who were born in Africa a
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making power to protect their daugh
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challenging and requires reaching v
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• In order to encourage an attitu
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BEHAVIOR CHANGE MODEL: Abolition of
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Institut National de la Statistique
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8.3. Question list for key informan
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8.5. Questionnaire for quantitative
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Evaluation of girls at riskQ214 CHE
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8.6. Questionnaire for quantitative
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Evaluation of girls at riskQ214 CHE
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8.7. Map of the geographical spread
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8.9. Map of the geographical spread
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