9th GEOSS Asia-Pacific Symposium, 11-13 January 2017,Tokyo, JapanCountry Report:

The Importance of Statistical
Development in Cambodia
By:
Meng Kimhor
Deputy Director General
National Institute of Statistics, Ministry of Planning, Cambodia

Contents
Map in Cambodia
Introduction
NIS’s Vision and Mission
Importance of Statistics
Key Indicators
NIS’s Future thinking

Introduction
Name of Country: Kingdom of Cambodia
Land Area: 181,035 square kilometers
Population Size in 2016 (estimated): 15.6 million
GDP per capita in 2015: US$ 1,218
The percentage of contribution in GDP by sectors in2015:
Agriculture : 21.2%
Industry : 32.1%
Service: 39.6%

NIS’s Vision and Mission• Vision: the vision of National Institute of Statistics is based on 5 principles:Necessity
IntegrityUsability
Professional andTrust• Mission:

The mission of National Institute of Statistics is to coordinate, collect, compile,
analyze and disseminate high quality and objective official statistics to assist
informed decision-making, debate and discussion within the Royal Government ofCambodia at national and sub-national, business and the media, as well as the wider
Cambodian and international community

Importance of Statistics• In the modern, globalized world, statistical information has been emerging as a
critical factor in supporting national and international demand for evidencebased planning and policy formulation, and monitoring and evaluation processes.
• In Cambodia, statistics are indispensable part of the government strategic plans,
and regional and international cooperation, including: National Strategic Development Plan (NSDP) Cambodia Millennium Development Goals (CMDG) National Programme to Rehabilitate and Develop Cambodia (NPRD)
 Five-year Socio-Economic Development Plan (SEDP)
 Rectangular Strategy for Growth, Employment, Equity and Efficiency
 Financial Sector Strategy 2006-2015 and the Public Financial Management Reform
Programme Requirement for data exchange and data sharing to international organizations anddevelopment partners as well as private users.

Key Indicators

Percent distribution of households byAccessibility to internet facility
2008

2013

Accessibility to Internet

(1)

Total

Urban

Rural

Total

Urban

Rural

(2)

(3)

(4)

(5)

(6)

(7)

100

100

100

100

100

100

98.9

96.0

99.7

94.5

78.3

98.7

Accessed at home

0.1

0.4

0.0

2.6

10.9

0.5

Accessed outside home

0.9

3.6

0.2

1.3

4.50.5

Accessed at home and outside
home0.1

0.5

0.0

1.6

6.4

0.3

Total
No AccessNumber of mobile phone, 1999-2013

Internet subscriber

Monthly average rainfall,
2003-2006

Monthly average rainfall,
2007-2010

Annual Minimum and Maximum temperature
2003-2010

Annual average maximum water level ofMekong River in meter, 1990-2010

Future thinking for some issues• Big Data is fundamentally changing our world. It is becoming the new in
21st century, and the people need to learn how to drill and refine it, that is,
how to produce data and turn them into information, knowledge andwisdom. The main sources of the big data from :• Twitter• Mobile phone• Satellite imagery/aerial photography• Price data/job vacancy data via scraping• Scanner data/price data sources via large vendors• Smart meter data on electricity/gas consumption• Open data is data that can be freely used, reused and redistributed by any
one, at most, to the requirement to attribute and share alike.