Countries with Discrepancies Between National and International Data

Slides:

Advertisements

Similar presentations

Wealth Index Sierra Leone CFSVA Objectives To define the wealth index To explain how to identify the appropriate variables to include in the wealth.

Advertisements

Discrepancies Between National and International Data By Shelton Kanyanda (Chief Statistician Malawi)

Country Data workshop: Building better dissemination systems for national development indicator Discrepancy analysis Lao PDR Presented by Vilaysook Sisoulath.

UNICEF THE GHANA SITUATION. UNICEF GHANA – Current Situation Data Sources The JMP based the 2004 coverage estimates on data from five nationally representative.

Responding driven sampling Principles of Sampling Session 1.

Human Development Index vs Unemployment Rate

Measuring and Monitoring Poverty for the MDGs Johan A. Mistiaen Economist-Statistician Development Data Group The World Bank Overview of the Approach and.

Discrepancies between National and International Data on Improved Drinking Water and Sanitation : Bangladesh Experience By A Y M Ekamul Hoque Director.

1 Child Mortality Estimation Pending Issues Workshop on MDG monitoring (SADC/ECA) Kampala, Uganda, 5-8 May 2008.

Use of Census and Administrative Data in Monitoring of Education Indicators – an international perspective Said Ould Voffal UNESCO Institute for Statistics.

Antenatal Care Coverage: Comparison between National and International Data and Metadata Cambodia Experience Workshop on MDG Monitoring to 2015 and beyond.

UIS Data gathering mechanisms Said Voffal Kampala, 6 May 2008.

MEASUREMENT OF LAND ON A COUNTRY’S BALANCE SHEET Jennifer Ribarsky National Accounts Division, OECD 2014 NBS-OECD Workshop 2 – 5 December 2014.

CountryData workshop: Building Better Dissemination Systems for National Development Indicators Differences between national and international reported.

Data Reconciliation Issues Neda Jafar Workshop on MDG Data Reconciliation: Employment Indicators July, Beirut Workshop on MDG Data.

Monitoring the MDG sanitation target

Monitoring the MDGs A catalogue of procedures and an assessment of statistical capacity Part 1: International study.

Metadata collection Employment-to-population ratio.

1 Discrepancies between National and International Data WORKSHOP ON MDG MONITORING BANGKOK, THAILAND 14 th – 16 th January 2009 By W.J.Nigamuni Deputy.

Use of Census Data for Gender Statistics MALDIVES STATISTICS DIVISION, DEPARTMENT OF NATIONAL PLANNING REPUBLIC OF MALDIVES.

Education Indicators – Mechanisms to gather data from national sources Workshop on MDG Monitoring Bangkok, THAILAND December 2008.

Education Indicators – Mechanisms to gather data from national sources Workshop on MDG Monitoring Bangkok, THAILAND December 2008.

Quality of Life Indicators: Access to Services Emily Bayles.

United Nations Economic Commission for Europe Statistical Division Getting the Facts Right: Metadata for MDG and other indicators UNECE Baku, Azerbaijan,

Assessing the Distributional Impact of Social Programs The World Bank Public Expenditure Analysis and Manage Core Course Presented by: Dominique van de.

Employment Trendswww.ilo.org/trends Millennium Development Goals Employment Indicators Theo Sparreboom Employment Trends International Labour Organization.

Presentation by David Yenukwa Kombat Ghana Statistical Service 25 March, 2014.

Workshop on MDG Monitoring Kampala, Uganda, 5-8 May 2008 Reconciling international and national sources for effective global monitoring Francesca Perucci.

WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) Comparing national and international monitoring of the MDG drinking water and.

Data gaps in international databases Francesca Coullare United Nations Statistics Division 2007 International Conference on Millennium Development Goals.

WHO UNICEF WHO and UNICEF Joint Monitoring Programme Slide 1 Current Developments in JMP How does the JMP monitor progress towards the MDG drinking-water.

GROUP 2 Practical C. Question 1 Cut off will depend on the country situation : 1 pig may be significant Frequency distribution – take the lower 10 – 20%

MDG data at the sub-national level: relevance, challenges and IAEG recommendations Workshop on MDG Monitoring United Nations Statistics Division Kampala,

WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) JMP Methodology and reconciling national and international monitoring of the.

Water Country Briefs Diagnostic Workshop Didier Allély Abdou Savadogo World Health Organization Geneva, 8-9 December 2010.

Workshop on MDG Monitoring Presentation on Indicator 7.8 & 7.9 By Mary M. Wanyonyi Kenya National Bureau Of Statistics (KNBS )

Bosna i Hercegovina Agencija za statistiku Bosne i Hercegovine Bosnia and Herzegovina Agency for Statistics of Bosnia and Herzegovina Tirana, November.

Karnataka – Key Information* Population million Proportion of Child Population in age group 0- 6 years : 11.2% Sex Ratio: 968 females for 1000 males.

World Population Social Studies 11. World Population The world population is the population of humans on the planet Earth In 2009, the United Nations.

Net Enrolment Ratio in Primary Education. (Source: UNITED NATIONS Handbook of Indicators for Monitoring the Millennium Development Goals, 2003) DEFINITION.

SA’s ECONOMIC AND SOCIAL INDICATORS  Economic Indicators -Used to establish the performance of the economy in terms of macro economic objectives of the.

Working Group Nr : 2 Session 3 Reconcile National Data with International Estimates Recommendations on How to Reconcile National and International Data.

Rachel Snow United Nations Population Fund

Session 2 The New MDG Framework

Visualisation of MDG implementation with Time Distance Progress Chart

ESA/STAT/AC.161/Co.1 Coordination of social statistics at national and international levels Thoughts for discussion Rosemary Bender, Statistics Canada.

Universal Primary/Basic Education: Goal #2

Scotland – Census and Household Estimates and Projections

Table 1. Comparative Characteristics of Poorest of the Poor Households

Tanzania Socio-Economic Database

United Nations Statistics Division DESA, New York

Water supply and sanitation affecting health

Conclusions and Recommendations

United Nations Statistics Division DESA, New York

Part 2: Country studies Monitoring the MDGs

Food Balance Sheets FBS component: Food availability.

Literacy Research Memory Skill Practice Stretch!

Literacy Research Memory Challenge Skill

Figure 1 Median coverage and distribution by

Sample Size, Margin of Error, and Confidence Intervals

Global library statistics – a new approach

International initiatives

Check it out! 1.5.1: Estimating Sample Proportions

The Swedish survey on turnover in the service sector

Countries with Discrepancies Between National and International Data

Session 1 MDG Monitoring at the Sub-national Level and Use of Administrative Data A. Availability of Sub-national and Administrative data for MDG Monitoring.

MDG DATA COLLECTION IN CHINA

Session 3 The New MDG Framework

Mathematics Unit 30: Shapes

Literacy Research Memory Challenge Skill

Presentation transcript:

Countries with Discrepancies Between National and International Data Working Group nr:2 Session 2 Discrepancies Between National and International Data Countries with Discrepancies Between National and International Data All countries have observed some discrepancies in the indicators under discussion

Session 2 Discrepancies Between National and International Data Indicators for which the Discrepancies are More Striking Indicator Reasons for discrepancy 1.1 $1/day Missing components of calculating the indicator (eg, PPP, CPI) Some data are new and not yet published Country data not available at World Bank (Mauritius) 2.1 Enrolment ratio This is explained by differences in the population data used Population estimates are obtained from UNPD 2.3 Literacy rate Unavailability of data, in which case UNESCO uses modeling Modeling used is acceptable by countries

Indicators for which the discrepancies are more striking cont… Reasons for discrepancy 7.8 Proportion of population using improved drinking water Agency data points are estimated using regression Latest figures from surveys and censuses are not published Country data missing at UNICEF Some countries use proportion of households 7.9 Proportion of population using improved sanitation facility Shared facilities not being considered as improved

Session 2 Discrepancies Between National and International Data Reasons for Discrepancies 1.1 1.8 2.1 2.3 4.1 5.2 7.8 7.9 Different definitions X Different population estimates Different methods (explain differences) Other (explain)