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E.3.7 The indicative target rates proposed in Table 1 show upper limits and should not be interpreted as providing any guidance for establishing lower limits for direct relations, nor should they be taken as cost- orientated levels. (...) In an asymmetric manner, with both Administrations/ROAs applying different rates for call termination, both of which are below the indicative target rate of the Administration/ROA in the lower teledensity 4 category. (...) Tomé & Principe 1.97 2.5 Small Island State / LDC 1.13 SDR U.K Senegal 1.32 115.9 “As if” LDC 1.265 SDR U.S Solomon Islands 1.84 7.2 LDC 0.6 SDR N.Z Sri Lanka 1.70 315.2 Low 1.1 SDR U.K Swaziland 2.41 22.6 Lower-mid 0.898 SDR U.S Tajikistan 3.77 227.6 Low 0.8 SDR N.Z Vanuatu 2.57 4.5 Small Island State / LDC 0.6 SDR N.Z Viet Nam 2.07 1’587.3 Low 1.498 SDR U.S West Bank and Gaza 4.35 120.0 Lower-mid n.a. n.a Yemen 1.34 220.3 LDC 1 SDR N.Z Zimbabwe 1.72 212.0 Low 0.6 SDR N.Z 9 Group C: 5 < T < 10 Administration Teledensity Main lines (000), 1998 Income Group Lowest Accounting rate To Azerbaijan 8.52 645.1 Low 0.4 SDR U.K Bolivia 6.88 535.0 Lower-mid 0.599 SDR U.S Bosnia 8.41 326.0 Low 0.34 SDR U.K Botswana 5.50 83.7 Lower-mid 0.599 SDR U.S Brazil 9.57 15’105.9 Upper-mid 0.524 SDR U.S Cape Verde 8.19 33.2 LDC 0.749 SDR U.S China 5.57 70’310.0 Low 1.017 SDR U.S Dominican Rep.
Language:English
Score: 977721.3 - https://www.itu.int/osg/spu/in...focus/final%20contribution.pdf
Data Source: un
Completion Rates Lower Secondary Upper Secondary Percentage of children whose age are 3 to 5 years above the intended age for the last grade of lower secondary school who have completed lower secondary education Percentage of children or youth whose age are 3 to 5 years above the intended age for the last grade of upper secondary school who have completed upper secondary education Male, 98 Rural, 95 Poorest, 93 Primary or Lower Secondary, 96 Female, 98 Urban, 99 Richest, 100 Higher, 99 50 60 70 80 90 100 Sex Area Wealth Quintile Mother's education Pe rc en t National Male, 79 Rural, 68 Poorest, 56 Female, 83 Urban, 88 Richest, 96 50 60 70 80 90 100 Sex Area Wealth Quintile Pe rc en t National 100 98 81 40 50 60 70 80 90 100 Primary Lower Secondary Upper Secondary Percent Inequalities in Completion Rates Regional Data in Completion Rates Region Primary Lower Secondary Upper Secondary National 100 98 81 Tbilisi 100 100 90 Adjara A.R 100 99 86 Guria 100 97 75 Imereti, Racha-Lechkhumi and Kvemo Svaneti 100 100 80 Kakheti 99 90 60 Mtskheta-Mtianeti 100 95 80 Samegrelo-Zemo Svaneti 100 99 69 Samtskhe-Javakheti 100 99 85 Kvemo Kartli 100 89 69 Shida Kartli 99 96 68 SDG MICS Indicator Definition & Notes Value 4.1.4 LN.8 a,b,c Completion rate (primary education, lower secondary, upper secondary education) 100%/98%/81% 4.1.5 LN.6 a,b,c Out-of-school rate (primary education, lower and upper secondary education) 1%/1%/11% 4.1.6 LN.10 a,b Percentage of children over-age for grade (primary education, lower secondary education) 0.2%/0.6% 4.2.2 LN.2 Participation rate in organized learning (one year before the official primary entry age), by sex M:87%/F:92% 4.5.1 LN.5 a Parity indices (female/male, rural/urban, poorest/richest wealth quintiles) for primary adjusted net attendance rate 1.00/0.99/0.98 4.5.1 LN.5 b Parity indices (female/male, rural/urban, poorest/richest wealth quintiles) for lower secondary adjusted net attendance rate 1.00/1.01/0.95 The Georgia Multiple Indicator Cluster Survey (MICS) was carried out in 2018 by the National Statistics Office of Georgia as part of the global MICS programme. (...) In richest quintile, lower secondary school completion rate is 100% while in poorest quintile it is around 93%. • Upper secondary school completion rate is 4 percentage point higher for female than for male while in lower secondary school it is the same. • The upper secondary school completion rates is strongly related to the wealth of the household and it rises with wealth quintiles from 56% (poorest) to 96% (richest). Also this indicator depends on the type of area: it is 20 percentage point higher in urban areas than in rural areas. • Upper secondary school completion rate is the highest in Tbilisi (90%) and the lowest (60%) in Kakheti. • Parity indices for primary and lower secondary adjusted net attendance rate indicate slight difference by area (rural/urban), while there are more difference by the wealth quintiles (poorest/richest) and no difference between boys and girls.
Language:English
Score: 975218.8 - https://www.unicef.org/georgia...files/2019-11/education_en.pdf
Data Source: un
The 32 indicators included in the summary measure of gender performance are: Outcome 1: 1.1.1.a, 1.1.1.c, 1.2.1.b, 1.3.2.a, 1.3.2.c, 1.5.1; Outcome 2: 2.1.1.b, 2.1.3, 2.4.1.a, 2.4.2.a, 2.6.1; Outcome 3: 3.3.1.a.ii, 3.4.1.b, 3.4.1.c, 3.4.2.b, 3.5.2; Outcome 4: all indicators; Outcome 5: 5.1.1, 5.1.2.b, 5.2.1.b, 5.3.1.c; Outcome 6: 6.1.1.a, 6.1.1.c, 6.4.1, and Outcome 7: 7.1.1.c, 7.2.2. 2014-2017 development performance report card Strategic Plan Output Performance against milestones Number of countries supported Number of countries reporting % countries with planned results that met/exceeded their milestones 2017 gender performance vs. overall performance 2014 2015 2016 2017 2014 2015 2016 2017 1 Sustainable growth and development 1.1 Structural transformation of productive capacities 111% 112% 113% 132% 124 120 70% 57% 78% 77% Lower (129%) 1.2 Social protection 163% 111% 98% 80% 66 50 100% 91% 86% 76% Lower (72%) 1.3 Sustainable management of natural resources 91% 86% 89% 113% 109 115 74% 75% 75% 73% Lower (90%) 1.4 Climate change adaptation and mitigation 109% 104% 98% 96% 119 120 90% 86% 88% 90% n/a 1.5 Inclusive energy efficiency and access 114% 92% 112% 111% 84 82 72% 68% 65% 68% Higher (112%) 2 Citizen voice, rule of law, accountability and democratic governance 2.1 Parliaments, constitution-making bodies and electoral institutions 120% 104% 95% 113% 88 93 81% 78% 72% 71% Lower (102%) 2.2 Anti-corruption 103% 97% 103% 96% 72 57 70% 82% 85% 75% n/a 2.3 Human rights institutions 109% 106% 98% 94% 58 70 93% 93% 89% 91% n/a 2.4 Civil society engagement 100% 95% 90% 94% 80 79 69% 74% 85% 81% Lower (89%) 2.5 Natural resources and biodiversity/ecosystems 169% 104% 100% 96% 73 99 82% 79% 85% 82% n/a 2.6 Discrimination and emerging issues 150% 122% 86% 94% 23 36 44% 50% 72% 65% Same 3 Strengthened institutions for universal access to basic services 3.1 National ownership of recovery and development processes 150% 103% 102% 90% 33 27 75% 50% 75% 67% n/a 3.2 Sub-national capacity for basic services delivery 105% 98% 96% 90% 79 71 88% 89% 94% 90% n/a 3.3 HIV and related services 108% 101% 96% 135% 60 41 90% 76% 61% 70% Lower (116%) 3.4 Rule of law/access to justice 208% 156% 133% 117% 47 48 74% 64% 60% 70% Lower (105%) 3.5 Citizen security 133% 126% 101% 92% 38 47 94% 89% 90% 84% Lower (85%) 4 Gender equality and women’s empowerment 4.1 Women’s economic empowerment 100% 100% 100% 96% 16 29 86% 92% 94% 88% Same 4.2 Sexual and gender-based violence 192% 114% 95% 95% 14 37 91% 80% 96% 78% Same 4.3 Gender evidence 50% 100% 100% 83% 12 28 67% 83% 89% 83% Same 4.4 Women’s participation in decision-making 86% 105% 108% 101% 24 41 82% 68% 72% 68% Same 5 Risk reduction - conflict and natural disaster, including climate change 5.1 Mechanisms to assess natural/man-made risks 128% 115% 103% 134% 51 44 85% 82% 84% 86% Lower (108%) 5.2 Disaster and climate risk management 117% 106% 95% 95% 64 75 84% 71% 79% 79% Higher (105%) 5.3 Gender-responsive disaster/climate risk management 99% 109% 111% 111% 20 26 80% 64% 75% 61% Lower (109%) 5.4 Natural hazard preparedness 119% 118% 101% 126% 49 62 76% 65% 65% 69% n/a 5.5 Peaceful management of conflicts 162% 98% 98% 96% 46 25 82% 84% 74% 81% n/a 5.6 Consensus-building around contested priorities 100% 106% 111% 100% 22 30 87% 100% 95% 100% n/a 6 Early recovery in post-conflict and post-disaster settings 6.1 Early economic revitalization 139% 103% 127% 168% 30 30 74% 60% 89% 89% Higher (214%) 6.2 Capacities for early recovery efforts 100% 109% 99% 92% 23 28 75% 89% 95% 88% n/a 6.3 Innovative partnerships in early recovery 85% 103% 139% 123% 4 14 45% 58% 71% 50% n/a 6.4 Social cohesion and trust 150% 126% 102% 96% 21 21 100% 100% 89% 90% Higher (100%) 7 Thought leadership 7.1 Global consensus on MDGs/post-2015 agenda 182% 107% 100% Carryover 2016 Global Global n/a n/a n/a n/a Same 7.2 Progress on MDGs/post-2015 agenda 114% 130% 100% 96% 35 41 94% 100% 94% 94% Same 7.3 National development plans 145% 111% 109% 115% 37 42 88% 81% 85% 83% n/a 7.4 Global development financing 100% 94% 95% 100% 22 29 89% 89% 90% 90% n/a 7.5 South-South and triangular cooperation 113% 107% 99% 112% 17 30 76% 81% 86% 89% n/a 7.6 Innovative development solutions 133% 157% 131% 126% 17 29 84% 81% 86% 82% n/a 7.7 Knowledge about development solutions 101% 118% 127% 128% Global Global n/a n/a n/a n/a n/a 7.8 MDGs and other global development goals 55% 123% 99% 100% Global 82 82% 98% 88% 100% n/a Methodology used for assessing performance for organizational effectiveness and efficiency indicators 7. (...) The formula for the second type of numeric indicator, shown on the right, yields a percentage achievement above 100 per cent when the actual is lower than the milestone (performance above expectations) and a percentage achievement below 100 per cent when the actual is higher than the milestone (underperformance). [2: The only indicators that track cumulative data are sub-indicator 9.b (gender seal) and indicator 41 (percentage of achieved actions in the UNDP QCPR action plan).] (...) For composite indicators, a non-weighted average of sub-indicator percentages was taken to calculate the average percentage achievement for that indicator.
Language:English
Score: 940862.7 - https://www.undp.org/sites/g/f...ssion/dp2018-10_Annex%201.docx
Data Source: un
A binary symbol is encoded to indicate whether CO is in interval l4 or l5. 2. If CP1 does not lie within I1, interval splitting similar to case 2 is applied if CP1 is below the lower bound of interval l1. (...) In our implementation, an intra_16x16 mode is redefined to indicate this second type of prediction in an enhancement layer. 2.4 Motion prediction Enhancement layers may be configured to predict the motion vector of a current block from the co-located motion vector in a lower spatial layer (upsampled), or in the unmodified MPEG-4 AVC manner. The coder may be further configured to select between the two methods dynamically and indicate this selection by encoding a flag bit into the enhancement layer bit stream. 2.5 Coding of syntax elements For enhancement layers, certain syntax elements are inferred from a previously-encoded lower layer, and therefore not encoded into the enhancement layer bit stream.
Language:English
Score: 928185.45 - https://www.itu.int/wftp3/av-a...04_07_Redmond/JVT-L037r1-L.doc
Data Source: un
A binary symbol is encoded to indicate whether CO is in interval l4 or l5. 2. If CP1 does not lie within I1, interval splitting similar to case 2 is applied if CP1 is below the lower bound of interval l1. (...) In our implementation, an intra_16x16 mode is redefined to indicate this second type of prediction in an enhancement layer. 2.4 Motion prediction Enhancement layers may be configured to predict the motion vector of a current block from the co-located motion vector in a lower spatial layer (upsampled), or in the unmodified MPEG-4 AVC manner. The coder may be further configured to select between the two methods dynamically and indicate this selection by encoding a flag bit into the enhancement layer bit stream. 2.5 Coding of syntax elements For enhancement layers, certain syntax elements are inferred from a previously-encoded lower layer, and therefore not encoded into the enhancement layer bit stream.
Language:English
Score: 928185.45 - https://www.itu.int/wftp3/av-a...2004_07_Redmond/JVT-L037-L.doc
Data Source: un
International Telecommunication Union ITU World Telecommunication Indicators Esperanza Magpantay Market, Economics and Finance Unit (MEF) Telecommunication Development Bureau Donor Agencies Briefing Measuring ICT for Development Geneva, 18 October 2004 Market Economics and Finance Unit (MEF) ITU/BDT/PSF/MEF o The ITU, through its Indicators, is the main source of internationally comparable data on telecommunications o World Telecommunication Indicators Meeting • Every two years • Identify and define telecom indicators to be collected ITU Indicators - what is available? o Telephone network (main telephone lines) o Mobile services (cellular subscribers) o Traffic (local, national, international) o Staff (total, mobile) o Quality of Service (faults, waiting list) o Tariffs (fixed, cellular, Internet) o Revenues & Investment (total, fixed, cellular) o Broadcasting (TV, radio) o Information Technology (Internet users, Internet subscribers, PC) World Telecommunication Indicators Database What else we want to measure? Households o Percentage of Households with: • PC • Radio • TV • Telephone • Internet access (from home) Individual • Percentage of population that use a computer • Percentage of population that use Internet (age, gender, education, location, frequency of use, purpose, etc.) The digital divide and the statistical divide 0% 20% 40% 60% 80% 100% Countries Internet survey Low income Lower Middle Upper Middle High Income 0% 20% 40% 60% 80% 100% Population Internet users Low Income Lower Middle Upper Middle High Income Source: ITU, 2003.
Language:English
Score: 923512.3 - https://www.itu.int/ITU-D/ict/partnership/donors/5.pdf
Data Source: un
Table 1: Indicative target rates for direct relations (settlement rates) Based on the average of the lowest 20 per cent of current published settlement rates in each teledensity group, and measured in SDRs per minute (T = telephone lines per 100 inhabitants) Teledensity T < 1 1 < T < 5 5 < T < 10 10 < T < 20 20 < T < 35 35 < T < 50 T > 50 0.327 SDR 0.251 SDR 0.210 SDR 0.162 SDR 0.118 SDR 0.088 SDR 0.043 SDR ____________________ * Note: This period may be extended, subject to the provisions in paragraph E5.3 ** The direct and transit target rates are not applicable between competitive markets E.3.2 The indicative target rates in Table 1 show upper limits and should not be interpreted as providing any guidance for establishing lower limits for direct relations, nor should they be taken as cost-orientated levels. (...) E.4.2 The indicative target rate of 0.05 SDR (upper limit) should not be interpreted as providing any guidance for establishing lower limit for transit shares, nor should it be taken as cost-orientated levels. (...) E5.2 The transitional arrangements towards cost-orientation should be negotiated through bilateral agreement, for instance in the following ways: a) On the principle of a 50/50 division of accounting revenue from traffic exchanged (symmetry), with both Administrations applying the same rate (settlement rate) to attain a level at or below the indicative target rate of the Administration in the lower teledensity category by or before the end of the transition period. b)In an asymmetric manner, with both Administrations applying different rates for call termination, in the context of an agreement to move to below the indicative target rate of the Administration in the lower teledensity category.
Language:English
Score: 922784.4 - https://www.itu.int/osg/spu/intset/focus/d140ae_e.pdf
Data Source: un
Table 1: Indicative target rates for direct relations (settlement rates) Based on the average of the lowest 20 per cent of current published settlement rates in each teledensity group, and measured in SDRs per minute (T = telephone lines per 100 inhabitants) Teledensity T < 1 1 < T < 5 5 < T < 10 10 < T < 20 20 < T < 35 35 < T < 50 T > 50 0.327 SDR 0.251 SDR 0.210 SDR 0.162 SDR 0.118 SDR 0.088 SDR 0.043 SDR E.3.2 The indicative target rates in Table 1 show upper limits and should not be interpreted as providing any guidance for establishing lower limits for direct relations, nor should they be taken as cost-orientated levels. (...) E.4.2 The indicative target rate of 0.05 SDR (upper limit) should not be interpreted as providing any guidance for establishing lower limit for transit shares, nor should it be taken as cost-orientated levels. (...) E5.2 The transitional arrangements towards cost-orientation should be negotiated through bilateral agreement, for instance in the following ways: a) On the principle of a 50/50 division of accounting revenue from traffic exchanged (symmetry), with both Administrations applying the same rate (settlement rate) to attain a level at or below the indicative target rate of the Administration in the lower teledensity category by or before the end of the transition period. b) In an asymmetric manner, with both Administrations applying different rates for call termination, in the context of an agreement to move to below the indicative target rate of the Administration in the lower teledensity category.
Language:English
Score: 922784.4 - https://www.itu.int/osg/spu/intset/focus/d140ae_e.doc
Data Source: un
Early childhood education 1. Primary education 2. Lower secondary education 25. Lower secondary vocational education 3. (...) Early childhood education 1. Primary education 2. Lower secondary education 25. Lower secondary vocational education 3. (...) Early childhood education 1. Primary education 2. Lower secondary education 25. Lower secondary vocational education 3.
Language:English
Score: 922168.75 - https://unece.org/fileadmin/DA...13.2018.4._as_resubmitted.docx
Data Source: un
Microsoft Word - Document1 Max-min procedure to convert indicators into indices In order to construct indices whose values can range between 0 and 100, the minimum and maximum admissible values—also known as lower and upper bounds—must first be determined. (...) For countries with indicator values below (above) the lower (upper) bound, the actual indicator value is replaced with the lower (upper) bound resulting in an index score of 0 (100). (...) For example, a high under-five mortality rate signifies a low (rather than high) level of human assets. In these cases, the following alternative formula is used. ∗ = 100 − = 100 × _ − _ − _ Again, actual indicator values are replaced with lower or upper bounds, if necessary.
Language:English
Score: 730470.6 - https://www.un.org/development...t/uploads/sites/45/max-min.pdf
Data Source: un