Who unicef joint monitoring programme for water supply and sanitation jmp
Sponsored Links
This presentation is the property of its rightful owner.
1 / 31

WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP) PowerPoint PPT Presentation


  • 82 Views
  • Uploaded on
  • Presentation posted in: General

JMP Methodology and reconciling national and international monitoring of the MDG drinking water and sanitation target SADC/ECA Workshop By: Rolf Luyendijk, UNICEF Kampala, Uganda, 5-8 May, 2008. WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP). This presentation.

Download Presentation

WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP)

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


JMP Methodology and reconciling national and international monitoring of the MDG drinking water and sanitation target

SADC/ECA Workshop

By: Rolf Luyendijk, UNICEF

Kampala, Uganda, 5-8 May, 2008

WHO/UNICEFJoint Monitoring Programmefor Water Supply and Sanitation (JMP)


This presentation

  • Introduction

  • Data sources

  • JMP Methodology

  • Reconciling national and international monitoring


WHO-UNICEF Joint Monitoring Program (JMP)

  • Responsible for monitoring progress towards the MDG 7 Target 7C

    • Global accountability and advocacy

  • Biennial updates of coverage estimates

    • Water supply, sanitation, urban, rural, total, household connections, by country, region and global


MDG target + Indicators

MDG 7 Target 7C:

  • Halve, by 2015, the proportion of people without sustainable access to safe drinking water and basic sanitation

    Indicators:

  • Proportion of population that uses an improved drinking water source, urban and rural

  • Proportion of population that uses an improved sanitation facility, urban and rural


MDG definitions of improved/unimproved sources of drinking water and sanitation facilities

  • Improved water supply

  • Piped into dwelling, plot or yard

  • Public tap/standpipe

  • Tube well/borehole

  • Protected dug well

  • Protected spring

  • Rainwater collection

  • Improved sanitation

  • Flush/pour flush to:

    • piped sewer system

    • septic tank

    • pit latrine

  • Ventilated improved pit (VIP) latrine

  • Pit latrine with slab

  • Composting toilet

  • Unimproved water supply

  • Unprotected dug well

  • Unprotected spring

  • Cart with small tank/drum

  • Tanker truck

  • Surface water (river, dam, lake, pond, stream, canal, irrigation canal)

  • Bottled water

  • Unimproved sanitation

  • Flush/Pour flush to elsewhere

  • Pit latrine without slab/open pit

  • bucket

  • Hanging toilet/hanging latrine

  • No facilities, bush or field


0% - 50%

50% - 75%

76% - 90%

91% - 100%

No or insufficient data

Water: Urban and rural disparities 2006

84% without access live in rural areas

Rural

Urban

WHO/UNICEF JMP, 2008


Data reports and advocacy material


Sanitation ladder

Open

Defecation

Unimproved

Shared

Improved

1990 2006


  • Introduction

  • Data sources

  • JMP Methodology

  • Rationale for monitoring


Data sources on access to water supply and sanitation

  • 1980 – 1997 Reported data from Governments

  • 1997 – data from household surveys and censuses

  • JMP data sources are primary sources:

    • National household sample surveys (DHS, MICS, LSMS, CWIQ, WHS, HBS, H&N, RHS, PAPFAM etc)

    • National census

    • Note: JMP is not involved in primary data collection


JMP – data base (2007)

  • Data for +/- 170 countries

  • 600+ results of HH surveys + Censuses from 1985 – 2006

  • Bulk of surveys for LDCs, SSA, larger developing countries

  • 30 - 40 new survey results per year

  • Frequency for most developing countries one survey every three years


How does the JMP obtain data?

  • UNICEF Country offices – annual submission of new survey/census data to HQ

  • MICS/DHS/WHS - through UNICEF, ORC-MACRO and WHO

  • IHSN – International Household Survey Network

  • Web-searches from NSO websites

  • Direct contact with NSO’s


Survey validation

  • Do we know the survey and survey authorities?

  • Is the survey nationally representative?

  • Do we have the original source documentation?

  • Reliability check against other indicators


  • Introduction

  • Data sources

  • JMP Methodology

  • Reconciling national and international monitoring


Monitoring MDG drinking water and sanitation targets

  • A country’s responsibility

  • At global level: JMP

  • Challenges:

    • Track progress over time

    • Track progress towards the MDG target vs.

      baseline year 1990

    • Ensure comparability over time

    • Ensure comparability of data among

      countries (JMP specific challenge)


JMP methodology

  • Collection survey information

  • Validate survey information

  • Ensure comparability among different surveys (including some country level consultations)

  • Plot survey data on time scale (urban + rural)

  • Draw linear regression line

  • Calculate total coverage based on urban & rural coverage data


Adjustments made to survey or census data set (1)

Example:

  • HBS ‘86: Latrine: 58%Improved

  • DHS ‘89: Pit: 62% Improved ?

  • Census ‘92: Open pit: 59%Not improved

  • MICS ‘95: Traditional latrine: 60%Improved?

  • How to interpret these categories?

  • Suggested re-classification:

    • Pit latrine with a slab

    • Pit latrine without a slab/open pit


Adjustments made to survey or census data set (2)

Example:

  • DHS ‘98: Well: 22%Improved?

  • Census ‘00: Protected dug well: 14%Improved

  • Census ’00: Unprotected dug well: 6% Not Improved

    Did coverage drop by 22 -14 = 8% over the period 1990-2000?

  • Suggested re-classification:

    • Tube well/borehole

    • Protected well

    • Unprotected well


Latest data point DHS 2002 :51%


Estimates Coverage

2004 = 50%

Latest data point DHS 2002 :51%


Estimates Coverage

2004 = 50% = 54%

2006 = 57%

Added Fictive data point 2005 :58%


Estimated Coverage

2004 estimate = 50%

Latest data point DHS 2002 :51%


2004 = 50% = 54%

2006 = 57%

Estimated Coverage

2004 = 50% = 49%

2006 = 52%

Added Fictive data point 2005 :58%

Added Fictive data point 2005 :49%


JMP Methodology

  • Per country:

    • Trendlines for urban and rural sanitation coverage

    • Trendlines for urban and rural drinking water coverage

  • Population data from UN Population Division

    • Total population

    • proportion urban population

  • Calculate total national coverage

    • Note: JMP does not take total coverage data directly from surveys or census data


  • Introduction

  • Data sources

  • JMP Methodology

  • Reconciling national and international monitoring


Data discrepancies

  • Use of different definitions of access

  • Use of different population data

  • JMP always uses projections – countries often report on latest census or survey findings

  • Difference in denominator population vs. households


Questions

How to reconcile definitional issues between national and international monitoring?

  • Should international definitions take into account (some) national definitions? E.g. shared facilities, traditional latrines?

  • Should national data (and definitions) be published alongside international estimates?

  • At what point should line ministries get involved in the discussion on definitions and what if they propose additional access criteria?

  • How to ensure survey data compatibility for national and international monitoring?

  • Reporting of latest survey data or use of projections?

  • How to ensure international monitoring uses all available survey data?


  • JMP Methodology - Summary

    • Primarily based on user data derived from household surveys and censuses rather thandata reported by governments

    • Adjustments made to full historical series to ensure comparability over time and between countries

    • Use linear regression to extrapolate and interpolate reference years instead of using the latest household survey data


    JMP Website: www.wssinfo.org

    • JMP country files

      • Four graphs with regressions line

      • All HHS + census data per country

    • Regional and global coverage estimates

    • Core questions on water supply and sanitation for household surveys

      • Standard indicators

      • Definitions of service categories


  • Login