DDI_KHM_2014_CSES_v01_EN_M_v01_A_OCS_FAO
Saint lundy
Office of Chief Statistician
<_value>
NADA
KHM_2014_CSES_v01_EN_M_v01_A_OCS_v01
Cambodia Socio-Economic Survey 2014
CSES 2014
KHM_2014_CSES_v01_EN_M_v01_A_OCS
National Institute of Statistics
Statistics Sweden
(c) 2014, National Institute of Statistics, Cambodia
NADA
Swedish International Development Agency
Royal Governmnet of Cambodia
Director, Demographic Statistics, Census and Survey Department
Data User Service Center
Director, ICT Department
Socio-Economic/Monitoring Survey [hh/sems]
The Cambodian Socio-Economic Survey 2014 (CSES) is the eleventh survey collecting data from household and individuals in Cambodia on different areas relating to poverty. The survey is conducted by the National Institute of Statistics (NIS) of the Ministry of Planning (MOP). The first Socio-Economic Survey was conducted in 1994 (CSES 1994). Since then the CSES has been conducted in 1996, 1997, 1999 and 2004. Since 2007 NIS conducts the CSES annually.
The CSES 2004 was the fifth survey that was conducted and as a countrywide sample survey of villages and households in Cambodia. CSES2004 was the first survey with a collection of income and receipts, expenditure and consumption of own production in a diary were daily transactions are reported. The sample size in CSES2004 was 1,000 households every month. Since 2007 the Socio-Economic Survey is conducted every year with a sample size of 300 households every month (3,600 household annually). The annual surveys are undertaken as a part of the project, “Capacity Development for Socio-Economic Surveys and Planning” of the Royal Government of Cambodia. This project is supported and financed by Sida (The Swedish International Development Cooperation Agency). In 2009 the CSES was similar to CSES 2004 with a sample size of 1,000 households every month (12,000 households on annual basis).
For 2010, 2011, 2012 and 2013 the sample size was again brought down to 3,600.
The earlier CSES rounds have all made it possible to report sets of indicators on 8 main areas of social concern
• Demographic characteristics
• Housing
• Agriculture
• Education
• Labour Force
• Health and Nutrition
• Victimization
• Household Income and Consumption
In CSES 2013 some changes have been introduced in the household questionnaire. Most changes were minor except for the questions on current economic activity.
For the CSES 2014 a new CSES survey sample and questionnaire design was implemented.
Living conditions in Cambodia have improved considerably between 1993 and 2004, the period
covered by the Cambodia Socioeconomic Surveys (CSES). Life expectancy at birth increased
from 52 to 60 years for men and from 56 to 65 years for women, mainly by rapidly
declining infant and child mortality. Material living conditions improved substantially according
to indicators on housing conditions and possession of durables. The differences in living
conditions are large between urban and rural areas. The standard of living is better in Phnom
Penh in almost all respects than in other urban areas, which in turn are better than the rural
areas. The present report cover main aspects on selected important subject matter areas.
Separate reports on poverty will be available in the last quarter of 2005.
The National Institute of Statistics (NIS) of the Ministry of Planning (MoP) conducted the
Cambodia Socio-Economic Survey 2003-2004 (CSES 2004). The UNDP, The World Bank
and the Swedish International Development Agency (Sida) sponsor the survey. Statistics
Sweden has provided the overall technical assistance. This is the fifth Cambodia Socio- Economic
Survey (CSES) conducted by the National Institute of Statistics, following the Socio
Economic Surveys in 1993/94, 1996, 1997, and 1999.
All information collected in CSES 2004 is strictly confidential and will be used for statistical
purpose only, in accordance with the 2005 Cambodian Law on Statistics.
The CSES 2004 enjoyed almost a 100 percent response rate. The high response rate together
with close and systematic fieldwork supervision by the core group members were a major
contribution for achieving high quality survey results.
Agriculture & Rural Development
Food (production, crisis)
Land (policy, resource management)
Coal
Electricity
Oil & Gas
Migration & Remittances
Health
HIV/AIDS
Malaria
Mental Health
Nutrition
Tuberculosis
Infrastructure
Transport
Water
Poverty
Private Sector Development
Public Sector
Children & Youth
Gender
Urban Development
The Cambodia Socio-Economic Survey (CSES) asks questions to a country wide sample of households and household members about housing conditions, education, economic activities, household production and income, household level and structure of consumption, health, victimization, etc. There are also questions related to people in the labour force, e.g. labour force participation.
Poverty reduction is a major commitment by the Royal Government of Cambodia. Accurate statistical information about the living standards of the population and the extent of poverty is an essential instrument to assist the Government in diagnosing the problems, in designing effective policies for reducing poverty and in monitoring and evaluating the progress of poverty reduction. The Millennium Development Goals (MDG) has been adopted by the Royal Government of Cambodia and a National Strategic Development Plan (NSDP) has been developed. The MDGs are also incorporated into the “Rectangular Strategy of Cambodia”.
Cambodia is still a predominantly rural and agricultural society. The vast majority of the population get their subsistence in households as self-employed in agriculture. The level of living is determined by the household's command over labour and resources for own-production in terms of land and livestock for agricultural activities, equipments and tools for fishing, forestry and construction activities and income-earning activities in the informal and formal sector. The CSES aims to estimate household income and consumption/expenditure as well as a number of other household and individual characteristics.
The main objective of the survey is to collect statistical information about living conditions of the Cambodian population and the extent of poverty. The survey can be used for identifying problems and making decisions based on statistical data.
The main user is the Royal Government of Cambodia (RGC) as the survey supports monitoring the National Strategic Development Plan (NSDP) by different socio-economic indicators. Other users are university researchers, analysts, international organizations e.g. the World Bank and NGO’s. The World Bank has published a report on poverty profile and social indicators using CSES 2007 data . In this regard, the CSES continues to serve all stakeholders involved as essential instruments in order to assist in diagnosing the problems and designing their most effective policies. The CSES micro data at NIS is available for research and analysis by external researchers after approval by Senior Minister of Planning. The interesting research questions that could be put to the data are many; NIS welcomes new research based on CSES data.
General Objectives:
CSES 2014 will continue the work started through CSES 2004 and the annual CSES 2007 to 2013 and would primarily aim at producing information needed for planning and policy making for reduction of poverty in Cambodia. Reduction of poverty has been given high priority in Cambodia's National Strategic Development Plan. In addition to this, the survey data help in various other ways in developmental planning and policy making in the country. They would also prove useful for the production of National Accounts in Cambodia.
A long-term objective of the entire project is to build national capability in NIS for conducting socio-economic surveys and for utilizing survey data for planning for national development and social welfare.
Specific Objectives:
Among specific objectives, the following deserve special mention:
1) Obtain data on infrastructural facilities in villages, especially facilities for schooling and health care and associated problems.
2) Obtain data on retail prices of selected food, non-food and medicine items prevailing in the villages.
3) Collect data on utilization of education, housing and land ownership
4) Collect data on household assets and outstanding loans.
5) Collect data on household's construction activities.
6) Collect information on maternal health, child health/care.
7) Collect information on health care seeking and expenditure of the household members related to illness, injury and disability.
8) Collect information on economic activities including the economic activities for children aged between 5 and 17 years.
9) Collect information on victimization by the household
10) Collect information on the presence of the household members.
Cambodia
National Coverage
Households
Sample survey data [ssd]
Briefly the CSES rounds have all made it possible to report sets of indicators on 8 main areas of social concern:
1. Demographic characteristics
2. Housing
3. Agriculture
4. Education
5. Labour Force
6. Health and Nutrition
7. Victimization
8. Household Income and Consumption
National Institute of Statistics
The sampling design in the CSES 2014 survey is a three-stage design. In stage one a sample of villages is selected, in stage two an Enumeration Area (EA) is selected from each village selected in stage one, and in stage three a sample of households is selected from each EA selected in stage two.
Stage 1: A random sample of PSUs was selected from each stratum. The sampling method was systematic PPS (PPS=sampling with probability proportional to size). The size measure used was the number of households in the PSU according to the sampling frame.
Stage 2. One EA was selected by Simple Random Sampling (SRS), in each village selected in stage 1.
Stage 3. In each selected EA a sample of 10 households was selected. The selection of households was done in the field by the supervisors/interviewers. All households in selected EAs were listed by the enumerator. The sample of households was then selected from the list by systematic sampling with a random start (the start value controlled by NIS).
For the details of sample selection please refer to the document "Process Description: Design and Select the Sample for CSES 2014"
Face-to-face [f2f]
Three different questionnaires or forms were used in the survey:
Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.
Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.
Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.
The interviewer is responsible for filling up Form 1 and Form 3 to respondents. For Form 2, the supervisors will be asked to canvass this form. In case that the supervisors are absent for any reason, the interviewers may be also asked to help fill up this form (Form 2).
For the CSES 2014 a new CSES survey sample and questionnaire design was implemented. The data collection and field work have therefore been monitored closely. especially in the beginning of the year. The changes caused only minor problems in the data collection. The fieldwork operations and logistics have been running very well. A training on sub-national level for all supervisors and enumerators was held in the beginning of the year. The training was paid for by local cost. Now NIS has its own capacity to carry out the out the data collection process, but is financially supported diretly by Sida. The L T As have participated in a few fieldtrips to learn more about the data collection and to check whether the work is carried out as planned. The Subject Matter Staff (SMS) have also participated more in the field work than previous years. As a result, the enumerators' undrstanding of the questions ha improved and at the same time tha SMS has received information about possible questionnaire improvements. All these activities will lead to better quality in the data collection.
Interviewers and supervisors were initially divided into teams of five persons (one supervisor and four interviewers), making in total 50 teams for the fieldwork. Each month, 25 teams were working in the field with a workload of 10 households per interviewer. In urban areas, 4 PSUs were allocated to one team while in rural areas, 2 PSUs were allocated. The fieldwork plan was designed in order to gather around 60 households monthly per team.
For a given month, the team arrived in the village three days before the first day of the month to tend to preparatory tasks like discussing with village authorities, filling out the Household Listing Form, and thereafter sample those households to be interviewed.
The Village Form was filled out by the supervisor.
The Household Questionnaire had 16 sections that were filled out by the interviewer during the first visit to the household, and in the following four weeks according to the following scheme:
FIRST VISIT: Initial visit
WEEK 1: Education and literacy, Housing
WEEK 2: Household economic activities, Household liabilities, Household income from other sources, and other expenditures (partial non-food recall)
WEEK 3: Durable goods and other expenses, Construction activities in the past 12 months, Nutrition, Fertility and child care, Mortality
WEEK 4: Health check of children, Current economic activity, Health, HIV/AIDS, Victimization
Once the month ended, the team went back to the NIS headquarters in Phnom Penh.
Questionnaires from the same PSU was delivered to the Data Management team by the supervisor in a packet including all of the documents used and produced in the fieldwork, including maps, enumeration lists, questionnaires, diaries, etc. Before going to the villages, teams were briefed and introduced to minor adjustments of the interviewing procedure that had to be made as a result of monitoring activities and feed-back from the data processing.
The fieldwork started in Janury 2010 and was scheduled to end in December 2010.
Fifty (50) supervisors and 200 enumerators were recruited by NIS and trained for the fieldwork. The training took place in Phnom Penh and lasted three weeks for supervisors and two weeks for enumerators. Before the start of each fieldwork month, there were briefing and retraining sessions. Each fieldwork team included one supervisor and four enumerators. In urban areas one enumerator was responsible for one PSU and for interviewing 10 households, while in rural areas two enumerators were responsible for one PSU and for interviewing 20 households. In all, 125 enumerators and supervisors, divided into 25 teams, were carrying out the fieldwork at the same time. Two such team groups were formed and each team group alternated monthly.
Enumerator and Supervisor training
Initial training was provided during nine days for a group of 20-30 staff (not all were attending all the time). This training included a translation into Khmer of selected parts of the questionnaire, and a field test in a village outside Phnom Penh where the participants performed test interviews in 16 households. The experiences from this exercise were followed up during the course. The course also included general aspects on survey methodology and ways of controlling for errors. Many of the findings from this training served as input to later stages.
Prior to the start of the fieldwork intensive interviewer and supervisor training was carried out. The 200 interviewers and 50 supervisors recruited were split into two groups, each consisting of 100 interviewers and 25 supervisors. The two groups later alternated so that the first group did their fieldwork during odd survey months (i.e. November, January, March …) while the second group covered the even survey months (i.e. February, April …).
The training was designed with this in mind. Training of the first group was provided in English by a WB consultant and simultaneously interpreted in Khmer by the appointed NIS officer. The second group was trained by NIS only.
Common was that the supervisors were first trained during one week, and then jointly with their interviewers for two weeks. Before all fieldwork months the group in turn was gathered at the NIS to walk through the questionnaire and manuals in order to correct errors that were detected during the briefing sessions or the monitoring operations, and to learn how to handle any changes that were introduced to the survey instruments.
Any survey of the CSES dimensions needs a comprehensive system for quality management and monitoring. Only then can deviations from the target be tended to in time to avoid shortfalls. Interviewers and supervisors were initially divided into teams of five persons (one supervisor and four interviewers), making in total 50 teams for the fieldwork.
The CSES management group within NIS therefore set up a meticulous monitoring scheme to be implemented from the very beginning. The monitoring team did include at least five NIS staff. Commonly the DG of NIS has spent one week monthly while other top ranked NIS officers have been out for two weeks on average. At times other officials from NIS or the Ministry have participated.
Inspections entailed both announced and unannounced visits. Every team was visited at least twice during their fieldwork periods. The purposes of these visits were several. One important purpose was to get a disciplinary effect on supervisors and enumerators from their knowledge that such inspections must be expected throughout the fieldwork month, including also at the very end of the diary month. Also important was to give feedback and encouragement to fieldworkers and to complement training by advice and suggestions and to sort out any problem that had arisen in the course of fieldwork in the village. Another area of concern was to ensure that the household listing and sampling was done in accordance with the procedures that were devised.
In general, a supervisor is assigned to supervise several enumerators during the field operations. The major duties and responsibilities of a supervisor in relation to your work as enumerator are the following:
1.Your supervisor is responsible for ensuring that all the enumerators under him/her do the listing and enumeration work satisfactorily in time. He/she plans and organises the work in his/her area of supervision and sees to it that everything is conducted efficiently and completely.
2.Your supervisor is required to check your work as enumeration proceeds to make sure that you have done your work correctly and have followed the standard procedures laid down by the NIS. He will check all the questionnaires filled by you. You must show and submit your work to him/her and report to him/her the progress of your work and avoid committing the same errors again.
3.As part of his/her supervisory functions, your supervisor will visit the enumeration area assigned to you to check that you have completely covered your area in the listing operation. He may observe you when you are interviewing some respondents. He/she will also re-interview some of the households you have interviewed to check whether the information you have obtained are valid.
4.The supervisor may provide to you all necessary field supplies and questionnaires etc. As soon as you complete the enumeration, you must return all unused supplies and materials to him/her. Otherwise, you will not be given clearance to collect your final service fee payment at the end of your work.
The supervisor serves as a link between you and higher officials of the NIS. Just as he/she informs you of the instructions from NIS officials, you must inform him/her of any problem or difficulty that you experience. Seek his/her advice on how to deal with problems in the field as often as needed. He may help you establish contact with village leaders, commune leaders, and other representatives of the village.
Please refer to Technical Documents for details.
Sampling weights were computed for every stage. First stage weights (W1) were assigned to selected villages. With the PPS procedure employed villages were selected with different probabilities. Large villages are over-represented in the sample and, small villages are under-represented. In the calculattion of results (estimates) from the sample it must be ensured that there is compensate for this misrepresentation. The way to do that is to assign sampling weights to the selected villages (PSUs). The over-represented large villages should be down-weighted and the under-represented small villages should be up-weighted.
The second stage sampling weights W2 are calculated as the number of households in the village (according to the chairman) over the number of sampled households (10).
The household sampling weights (Wprel) are calculated by multiplying W1 by W2. All the sampled households in the village get the same household weight. These weights were then calibrated.
For a detailed discussion of the calculation of weights please refer to the document "Process Description: Design the Estimation Procedure and Calculate Sampling Weights for CSES 2014".
The NIS team commenced their work of checking and coding in begining of February after the first month of fieldwork was completed. Supervisors from the field delivered questionaires to NIS. Sida project expert and NIS Survey Manager helped in solving relevant matters that become apparent when reviewing questionires on delivery.
The CSES 2014 enjoyed almost a 100 percent response rate. The high response rate together with close and systematic fieldwork supervision by the core group members were a major contribution for achieving high quality survey results.
In order to provide a basis for assessing the reliability or precision of CSES estimates, the estimation of the magnitude of sampling error in the survey data were computed. Since most of the estimates from the survey are in the form of weighted ratios, thus variances for ratio estimates are computed.
The Coefficients of Variation (CV) on national level estimates are generally below 4 percent. The exception is the CV for total value of assets where there are rather high CVs especially in the urban areas, which should be expected. The CVs are somewhat higher in the urban and rural domains but still generally below 7 percent. For the five zones, the average CVs are in the range 5 to 13 percent with a few exceptions where the CVs are above 20 percent. For provinces the CVs for food consumption are 9 percent on average.
The sample take within Primary Sampling Units (PSU) was set to 10 households per PSU in the CSES 1999. When data on variances became available, it was possible to make crude calculations of the optimal sample take within PSU. Calculations on some of the central estimates in the CSES 1999 show that the design effects in most cases are in the range 1 to 5.
Intra-cluster correlation coefficients have been calculated based on the design effects. These correlation coefficients are somewhat high. The reason is that the characteristics that are measured tend to be concentrated (clustered) within the PSUs. The optimal sample size within PSUs under different assumptions on cost ratios and intra-cluster correlation coefficients was then calculated. The cost ratio is the average cost for adding a village to the sample divided by the average cost of including an extra household in the sample. In the CSES, it was chosen to adopt a fairly low cost ratio due to the fact that the interview time per household is long. Under this assumption the optimal sample size is probably around 10 households per village for many of the CSES indicators.
The main objective of the survey is to collect accurate statistical information about living
standards of the population and the extent of poverty as an essential instrument for identifying
problems and designing effective policies for reducing poverty, and in evaluating the progress
of poverty reduction.
Like the four previous survey rounds six main areas of social concern have been surveyed:
- Household level and the structure of consumption including poverty and nutrition
- Household production and cash income
- Education and access to schooling
- Health and access to medical care
- Housing and amenities
- Family and social relations
The CSES 2004 was carried out on a nationwide representative sample of 15,000 households
within 900 Primary Sampling Units (PSU) corresponding to 867 villages. It was designed to
provide information on social and economic conditions of households for policy studies on
poverty, household production, final consumption for the National Accounts, and weights for
the Consumer Price Index (CPI). It was divided into 15 monthly samples of 1,000 households
each in 60 PSUs from November-03 till January-05.
Using data for the 15 months, reliable estimates were produced for 11 individual provinces;
Bantey Meanchy, Battambang, Kampong Cham, Kampong Speu, Kampong Thom, Kandal,
Phnom Penh, Pery Veng, Siem Reap, Svay Rieng and Takeo. The other 13 provinces were
grouped according to zone:
Tonle Sap provinces: Kampong Chhnang and Pursat
Coastal provinces: Kampot, Sihanouk Ville, Kaoh Kong and Krong Keb
Plateau/Mountain: Kratie, Steung Treng, Rattanakiri, Mondol Kiri, Preah Vihear, Oddor
Meanchey, and Krong Pailin
The 1998 Population Census, carried out by NIS, was used as sampling frame in the sampling
design of the CSES 2004.
The survey covers private households with one or more persons. Nomadic households are
included in principal. Excluded are:
- People living in institutions (such as long term hospitals, prisons, monasteries, military
quarters)
- Diplomatic and UN households in the country
- Other foreigners in the country
- Armed forces residing in military bases
All information collected in the survey from village leaders and other representatives of sample villages and from sample households will be treated as strictly confidential and used for statistical purposes in social and economic planning. Information supplied by any person will not be used against him for taxation, investigation or any other legal purpose.
Director General
Cambodia Socio-Economic Survey 2014 (CSES 2014), National Institute of Statistics, Ministry of Planning, Cambodia
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the National Institute of Statistics.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Institute of Statistics.
4. No attempt will be made to produce links among datasets provided by the National Institute of Statistics, or among data from the National Institute of Statistics and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Institute of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the National Institute of Statistics.
The user of the data acknowledges that the National Institute of Statistics, Cambodia bears no responsibility for use of the data or for interpretations or inferences based upon such uses.
The main objective of the survey is to collect accurate statistical information about living
standards of the population and the extent of poverty as an essential instrument for identifying
problems and designing effective policies for reducing poverty, and in evaluating the progress
of poverty reduction.
Like the four previous survey rounds six main areas of social concern have been surveyed:
- Household level and the structure of consumption including poverty and nutrition
- Household production and cash income
- Education and access to schooling
- Health and access to medical care
- Housing and amenities
- Family and social relations
The CSES 2004 was carried out on a nationwide representative sample of 15,000 households
within 900 Primary Sampling Units (PSU) corresponding to 867 villages. It was designed to
provide information on social and economic conditions of households for policy studies on
poverty, household production, final consumption for the National Accounts, and weights for
the Consumer Price Index (CPI). It was divided into 15 monthly samples of 1,000 households
each in 60 PSUs from November-03 till January-05.
Using data for the 15 months, reliable estimates were produced for 11 individual provinces;
Bantey Meanchy, Battambang, Kampong Cham, Kampong Speu, Kampong Thom, Kandal,
Phnom Penh, Pery Veng, Siem Reap, Svay Rieng and Takeo. The other 13 provinces were
grouped according to zone:
Tonle Sap provinces: Kampong Chhnang and Pursat
Coastal provinces: Kampot, Sihanouk Ville, Kaoh Kong and Krong Keb
Plateau/Mountain: Kratie, Steung Treng, Rattanakiri, Mondol Kiri, Preah Vihear, Oddor
Meanchey, and Krong Pailin
The 1998 Population Census, carried out by NIS, was used as sampling frame in the sampling
design of the CSES 2004.
The survey covers private households with one or more persons. Nomadic households are
included in principal. Excluded are:
- People living in institutions (such as long term hospitals, prisons, monasteries, military
quarters)
- Diplomatic and UN households in the country
- Other foreigners in the country
- Armed forces residing in military bases
hhconstruction
12320
24
hhcostcultivationcrops
12041
18
hhdurablegoods
107171
11
hhfishcultivation1
188
6
hhfishcultivation2
7389
3
hhfishcultivation3
9714
3
HHFoodConsumption
212055
6
hhforestryhunting1
16821
6
hhforestryhunting2
27369
3
hhhousing
12092
52
hhincomeothersource
11218
5
hhinventorycrops
6483
5
hhlandownership
11537
34
hhliabilities
3732
9
hhlivestock1
61824
16
hhlivestock2
10894
3
HHMembers
53968
21
hhnonagriculture1
4400
12
hhnonagriculture2
18526
8
hhnonagriculture3
6716
8
hhotherinfo
12094
44
hhproductioncrops
12069
12
HHRecallNonFood
121871
5
hhsalescrops
5262
5
HHVulnerability
12093
26
Households
12095
6
persondisability
53968
15
personecocurrent
49252
46
personecousual
49142
11
personeducation
51221
27
personillness
53968
20
personviolencea
49635
5
personviolenceb
207
26
psulisting
1008
16
weighthouseholds
12090
7
weightpersons
53968
8
diaryexpenditure
1383654
10
diaryincome
389227
12
12320
12320
1
2
3
4
12320
1
2
3
4
802
11518
1
2
3
4
Sysmiss
10
12310
2
3
4
Sysmiss
12305
15
6
6500
49.811
82.918
12289
31
1940
2014
2001.532
9.869
12320
20000
3600000000
58705276.834
132959508.748
12320
18000000
239760.747
470936.783
12320
1
2
157
12163
21000000
1041656.057
1889361.864
12319
1
1
2
Sysmiss
234
12086
1
2
3
Sysmiss
87
12233
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
87
12233
1996
2004
2009
2012
2013
2014
Sysmiss
73
12247
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
73
12247
1996
1997
2009
2012
2013
2014
Sysmiss
89
12231
1
2
3
4
5
Sysmiss
205
12115
72000000
1718082.927
5932480.105
197
12123
80000000
8087299.492
12484969.597
174
12146
100000000
6803810.345
14646697.864
223
12097
10000000
263560.538
1091907.392
222
12098
8000000
153040.541
673417.443
150
12170
40000000
3616000
7572584.604
12041
12041
1
2
12041
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
12041
1
2
3
4
5
6
7
8
9
10
11
12
12041
25000000
158430.135
573923.564
12041
28000000
251069.176
675831.225
12041
2400000
31309.318
84501.053
12041
800000
458.99
10655.383
12041
36000000
66286.284
501975.104
12041
5600000
23930.919
95053.81
12041
28000000
155733.855
474071.663
12041
58900000
199122.162
971429.473
12041
3240000
6790.881
80308.942
12041
650000
447.222
15196.025
12041
7000000
24294.61
114318.91
12041
3600000
2995.216
46802.773
12041
9000000
11429.632
160924.453
12041
92500000
932298.401
2206913.126
107171
107171
801
894
832.99
33.909
107170
1
1
35
1.843
1.537
106909
262
1
2
3
4
Sysmiss
25044
82127
1
2
3
4
Sysmiss
13135
94036
1
2
3
4
Sysmiss
7766
99405
1
2
3
4
Sysmiss
14354
92817
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
99476
7695
1
35
1.798
1.452
14354
92817
400
220000000
1197596.189
5417288.335
99476
7695
500
720000000
927683.378
6515429.633
188
0100103
0100109
0102503
0102504
0102505
0201901
0203802
0203803
0203902
0203908
0204609
0205803
0300302
0300304
0300305
0300306
0300308
0300309
0300312
0300409
0300411
0302401
0303008
0303405
0305006
0305108
0306707
0401702
0401704
0401705
0401706
0401708
0401709
0403002
0500205
0500304
0501803
0502311
0502405
0502412
0505307
0505505
0506706
0602807
0602808
0602810
0602811
0700710
0702306
0702311
0801904
1000601
1212411
1212504
1400603
1400605
1400710
1400803
1400805
1400806
1401002
1401007
1401011
1401012
1401212
1401304
1401305
1402007
1402008
1402301
1402303
1402304
1402305
1402309
1402311
1402312
1402408
1402611
1402701
1402902
1403006
1403007
1403103
1403701
1403705
1403708
1403711
1404012
1404503
1404707
1405807
1406412
1500702
1500709
1500802
1500805
1500809
1501701
1501703
1501704
1501707
1501709
1701305
1702102
1702406
1702708
1703203
1703209
1703210
1703211
1703305
1705001
1705003
1705004
2000708
2000710
2001002
2001201
2001202
2001203
2001204
2001205
2001207
2001208
2001209
2001210
2001211
2001212
2001601
2001606
2001607
2001608
2001611
2001804
2001812
2001904
2001906
2001907
2001909
2001911
2002001
2002002
2002108
2002109
2002112
2002603
2002604
2002611
2002612
2002709
2002712
2003302
2003601
2003602
2003604
2003605
2003606
2003607
2003608
2003609
2003610
2003612
2003701
2003710
2003712
2101809
2102302
2102906
2103705
2104203
2104510
2104610
2105001
2105009
2105206
2105209
2105211
2105310
2105907
2106004
2106007
2106202
188
1
2
3
188
1
2
3
4
5
188
6
1500
168.84
265.185
188
120000
80000000
3440531.915
6623000.333
188
2000000
131851.064
288520.417
7389
7389
1
2
3
4
5
6
7
8
9
10
11
12
7385
4
78000000
188704.469
1368497.772
9714
9714
1
2
3
4
5
6
7
9712
2
90000000
513875.597
2437994.94
212055
100101
2402212
1005093.949
628252.612
212055
1
122
29.963
37.976
162230
49825
840000
11111.015
16027.168
162230
49825
280000
1526.98
6116.911
162230
49825
840000
12637.995
16543.208
189703
22352
1
2
3
4
5
6
7
Sysmiss
16821
16821
1
2
3
4
5
6
7
8
9
10
16811
10
36000000
92612.563
1016122.993
16804
17
15000000
258599.524
389394.146
16796
25
1080000
1660.598
21635.054
16804
17
36000000
352866.734
1096977.356
27369
27369
1
2
3
4
5
6
7
27343
26
6300000
13010.734
124239.265
12092
12092
1
2
3
4
5
6
12092
4
816
47.863
31.289
12092
1
2
3
4
5
6
7
8
10
11
13
12092
1
2
3
4
5
6
7
8
9
12092
1
2
3
4
5
6
7
8
9
12092
1
2
3
4
5
6
7
8
9
12092
1
2
3
4
5
6
7
8
12091
1
1
2
3
4
5
6
7
8
9
10
11
12
13
Sysmiss
5318
6774
5000
40.308
131.496
4966
7126
1
90
1.298
1.466
4062
8030
1
2
3
4
5
6
7
8
9
10
11
Sysmiss
1370
10722
30
3.35
1.406
4952
7140
1
120
18.373
12.114
12088
4
1
2
3
4
5
6
7
8
9
10
11
12
13
Sysmiss
7894
4198
6000
60.249
194.983
6901
5191
21
1.304
0.829
5579
6513
43
2.322
1.176
1873
10219
40
3.389
1.826
6865
5227
1
450
22.427
16.522
12092
190000
10970.44
17640.636
12092
1
2
3
9944
2148
1
2
Sysmiss
9944
2148
1
2
Sysmiss
9944
2148
1
2
Sysmiss
9944
2148
1
2
Sysmiss
9944
2148
1
2
Sysmiss
12092
1
2
3
4
5
6
7
8
12089
3
1
2
3
4
Sysmiss
12092
48000
244.785
1462.268
12092
40000
905.02
2989.192
12087
5
1
2
3
4
5
Sysmiss
8786
3306
1
2
3
4
Sysmiss
8429
3663
1
2
Sysmiss
8429
3663
1
2
Sysmiss
12092
1
2
3
4
5
6
7
8
9373
2719
1
2
Sysmiss
7245
4847
1
2
3
4
5
6
7
8
9
Sysmiss
5538
6554
60
2.373
1.247
1491
10601
65
3.405
2.219
7050
5042
1000
4.483
13.766
12092
600000
32864.388
57948.287
12092
200000
10814.974
23413.033
12092
90000
817.206
4085.712
12092
290000
25682.331
23902.611
12092
195000
3817.938
11114.745
12092
100000
3523.534
7625.649
12092
400000
237.185
3942.037
12048
44
1
2
3
4
Sysmiss
373
11719
1800000
238062.737
286647.072
11896
196
5000000
231790.804
359718.197
12044
48
2000000
2023.166
44485.465
11218
11218
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
11217
1
146000000
4109347.731
21304723.736
11211
7
96120000
380184.239
2725190.756
11218
146000000
4474662.952
21379061.474
6483
6483
1
2
3
4
5
10
6483
101
102
103
104
105
203
209
301
302
401
411
412
413
421
451
501
522
524
525
801
804
811
815
819
827
833
841
911
952
997
6479
4
1
80000
1628.33
2686.664
6482
1
50
50000
1030.592
1156.233
11537
11537
1
2
3
4
5
6
7
8
9
10
11
12
11534
3
16
600000
10006.204
16268.989
11537
1
2
3
4
5
10420
1117
1
44100000
484951.164
1448180.915
10414
1123
1
2
3
Sysmiss
10312
1225
1
2
3
4
Sysmiss
686
10851
1
8000000
362342.567
790842.634
687
10850
1
2
3
Sysmiss
685
10852
1
2
3
4
Sysmiss
426
11111
1
7600000
581336.12
1037552.844
427
11110
1
2
3
Sysmiss
426
11111
1
2
3
4
Sysmiss
11519
18
1
2
3
5
6
7
8
9
10
Sysmiss
11536
1
1950
2014
1993.86
11.339
11537
1
2
3
4
5
6
7
8
1519
10018
50000
280000000
8885683.871
20778221.147
11537
60000
1000000000
17937266.56
39204406.802
11537
1
2
3
4
7337
4200
1
2
3
4
5
6
7
Sysmiss
7337
4200
1
2
3
4
5
6
7
8
Sysmiss
7338
4199
1
40
1.786
4.46
11537
1
99
5.402
18.598
11479
58
1
2
3
4
5
6
7
8
Sysmiss
189
11348
1
2
3
4
5
8
Sysmiss
10
11527
1
2
3
4
7
Sysmiss
11537
1
2
3
4
11537
1
2
3
4
6
7
8
11
11526
1
2
3
4
6
Sysmiss
1
11536
7
Sysmiss
599
10938
1979
2014
1998.302
11.573
11537
1
2
10250
1287
1979
2014
1993.852
10.751
11537
1
2
3
3732
3732
1
2
3
4
3729
3
120
8.254
8.485
3447
285
119
11.065
8.915
3732
1
2
3
4
5
6
7
8
9
10
3732
1
2
3
4
5
6
7
8
9
10
3732
10000
400000000
6192955.064
13291037.851
3732
188000000
4233394.612
8696852.394
3720
12
30
2.551
2.015
61824
61824
1
2
3
4
5
6
7
8
9
10
61821
3
1
2
Sysmiss
10828
50996
2000
10.325
40.31
4921
56903
39
1.815
1.795
10826
50998
95000000
2610338.638
4701803.066
10825
50999
70000
31.453
1008.602
10828
50996
95000
80.738
2006.284
10825
50999
99900000
2472027.691
4865626.042
10827
50997
120000000
628592.722
2407785.907
10817
51007
57600000
157803.513
1209040.532
10823
51001
8000000
50889.162
141626.356
10820
51004
6500000
3561.026
68989.7
10819
51005
54600000
41002.449
1177327.082
10819
51005
1700000
28985.877
71178.765
10816
51008
600000
484.43
8744.294
10894
10894
1
2
3
4
5
6
10883
11
480000000
369744.413
6735273.215
53968
100101
2402212
1011438.004
628156.305
53968
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
53968
1
2
53465
503
1
31
12.915
8.007
53660
308
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
53968
1915
2014
1984.812
19.677
53968
98
28.779
19.682
4716
49252
1
2
3
4
Sysmiss
53968
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
23495
30473
1
2
3
4
5
6
7
8
9
10
11
12
14
15
Sysmiss
27732
26236
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Sysmiss
40821
13147
1
2
3
4
Sysmiss
22306
31662
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Sysmiss
53968
1
2
3
4
5
6
7
8
53968
1
2
53968
1
2
3
4
5
6
7
8
9
3397
50571
1
2
3
4
5
6
7
8
9
Sysmiss
2262
51706
1
2
3
4
5
6
7
8
9
Sysmiss
53968
1
2
2906
51062
52
20.039
16.648
53968
4400
4400
1
2
3
4
4400
0113
0120
0130
0141
0160
0220
0230
0310
0320
0810
0990
1010
1020
1030
1060
1070
1080
1100
1310
1390
1410
1430
1520
1610
1620
1810
1820
1920
2010
2020
2100
2310
2390
2420
2510
2590
3090
3100
3210
3310
3510
3530
3600
3830
4100
4320
4390
4510
4520
4530
4540
4610
4620
4630
4640
4650
4660
4690
4710
4720
4730
4740
4750
4760
4770
4780
4790
4920
4930
5020
5210
5220
5510
5590
5610
5620
5810
6190
6200
6310
6410
6490
6610
6620
6810
6820
7220
7420
7500
7710
7720
7730
7910
8510
8520
8540
8610
8620
8690
9000
9200
9320
9490
9510
9520
9600
9990
4389
11
1
2
3
4
5
6
7
8
9
10
Sysmiss
2190
2210
1
2
3
4
5
6
7
8
9
10
Sysmiss
572
3828
1
2
3
4
5
6
7
8
9
Sysmiss
163
4237
1
2
3
4
5
6
7
8
9
10
Sysmiss
47
4353
1
3
4
5
6
7
9
10
11
12
Sysmiss
13
4387
1
6
9
Sysmiss
2
4398
7
9
Sysmiss
4400
Sysmiss
4400
Sysmiss
18526
18526
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
18512
14
9273600000
9084997.232
82201869.19
3713
14813
248000000
2999551.225
14812278.73
1223
17303
264000000
675562.061
8358612.218
35
18491
3000000
147500
523134.093
18
18508
Sysmiss
18
18508
Sysmiss
6716
6716
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
6709
7
9737280000
34488950.827
152587959.911
1371
5345
640000000
11696623.705
36206435.826
455
6261
370200000
2897571.429
20166541.99
5
6711
5000000
2682000
2483972.625
6716
Sysmiss
6716
Sysmiss
12094
12093
1
1
2
Sysmiss
12091
3
1
2
Sysmiss
330
11764
1
2
3
4
5
6
7
Sysmiss
12091
3
1
2
Sysmiss
7178
4916
1
2
3
4
5
6
7
12
Sysmiss
12087
7
1
2
3
Sysmiss
7178
4916
1
2
Sysmiss
7179
4915
1
Sysmiss
7173
4921
1
2
3
4
5
Sysmiss
7176
4918
1
2
Sysmiss
7179
4915
1
2
Sysmiss
7177
4917
1
2
Sysmiss
7177
4917
1
2
20
Sysmiss
12091
3
1
2
Sysmiss
12070
24
1
Sysmiss
12072
22
1
Sysmiss
12091
3
1
2
Sysmiss
12090
4
1
2
Sysmiss
12071
23
1
2
Sysmiss
12091
3
1
2
Sysmiss
12085
9
1
2
Sysmiss
12081
13
1
2
4
Sysmiss
12091
3
1
2
Sysmiss
12091
3
1
2
Sysmiss
12085
9
1
2
Sysmiss
12085
9
1
2
Sysmiss
12091
3
1
2
Sysmiss
11615
479
1
2
3
8
Sysmiss
11615
479
1
2
3
4
5
6
7
8
10
11
Sysmiss
11610
484
1
2
3
4
Sysmiss
12091
3
1
2
Sysmiss
12091
3
1
2
Sysmiss
12094
Sysmiss
12094
Sysmiss
12091
3
1
2
Sysmiss
906
11188
1
2
3
4
6
7
8
Sysmiss
277
11817
1
2
3
4
5
6
7
8
Sysmiss
152
11942
1
2
3
4
5
6
7
8
Sysmiss
914
11180
1
2
3
4
5
8
Sysmiss
12094
Sysmiss
12091
3
1
2
Sysmiss
12091
3
1
2
Sysmiss
12091
3
1
2
Sysmiss
12069
12069
1
2
12069
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
21
12069
1
2
3
4
5
6
7
8
9
10
11
12
13
14
12069
101
102
103
104
105
201
202
203
205
207
208
209
301
302
303
401
411
412
413
417
422
424
425
426
427
428
429
443
445
451
452
453
501
502
503
505
506
508
510
511
521
522
523
524
525
526
527
528
529
530
531
542
543
546
552
561
564
601
801
803
804
805
811
812
814
815
816
817
818
819
820
821
823
824
825
826
827
828
829
833
841
842
843
904
911
913
921
922
924
928
941
952
956
997
12054
15
10
300000
8964.829
12032.454
12057
12
300000
8302.86
11238.547
12067
2
500000
3104.698
12216.4
12065
4
7450
16.621
110.918
12063
6
6000
40.259
158.927
12057
12
1500000
1328.113
16394.902
12069
2000
2010
2012
2013
2014
121871
100101
2402212
1002916.992
630665.826
121871
1
23
11.498
6.312
115012
6859
80000000
430086.043
1611511.843
114933
6938
10000000
3027.725
54170.858
121864
7
80000000
412345.789
1570319.559
5262
5262
1
2
3
4
5
5262
101
102
103
104
201
202
203
205
207
208
209
301
302
401
411
412
413
417
422
424
425
426
427
428
429
443
451
452
453
501
502
503
505
506
508
510
511
521
522
523
524
525
526
527
528
529
530
531
542
543
546
552
561
564
601
801
803
804
805
811
812
814
815
816
817
818
819
820
821
823
824
825
826
827
828
829
833
841
842
843
911
913
921
922
924
928
941
952
956
997
998
5259
3
4050000
7601.632
97256.865
5260
2
8376000
6729.078
166374.264
12093
100101
2402212
1007092.624
630488.922
12093
1
2
3
4
5
6
7
12093
1
2
3
4
5
6
7
12093
1
2
3
4
5
7
12093
1
2
3
4
5
6
7
12093
1
2
3
4
5
6
7
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
3
12093
1
2
12093
1
200
11893
1
2
3
Sysmiss
12093
1
79
12014
1
2
3
Sysmiss
12093
1
38
12055
1
2
3
Sysmiss
12093
1
12093
1
12093
1
12093
1
12095
100101
2402212
1007126.434
630442.27
12095
1001
24022
10071.199
6304.423
12095
1
2
3
4
5
6
7
8
9
10
11
12
12095
1
2
3
4
5
6
7
8
9
12095
1
2
3
4
5
6
7
8
9
10
12095
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
53968
53968
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
53968
1
2
3
4
5
6
7
8
9
417
53551
1
2
3
4
5
6
7
8
9
Sysmiss
102
53866
1
2
3
4
5
6
7
8
Sysmiss
2010
51958
1
2
3
Sysmiss
419
53549
1
2
3
Sysmiss
102
53866
1
2
3
Sysmiss
2010
51958
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
Sysmiss
437
53531
1
2
3
4
5
6
7
8
10
11
13
14
15
18
19
Sysmiss
111
53857
1
2
4
5
6
13
14
18
19
Sysmiss
2011
51957
1
2
3
4
5
6
Sysmiss
489
53479
1
2
3
4
5
6
Sysmiss
125
53843
1
2
3
4
5
6
Sysmiss
53968
49252
49252
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
49252
1
2
3
4
5
6
7
8
9
10
11
12
14
49252
1
2
18027
31225
1
2
Sysmiss
31281
011
111
112
121
122
131
132
133
134
141
142
143
211
213
214
216
221
222
223
224
225
226
231
232
233
234
235
241
242
243
251
252
261
263
264
265
311
312
313
315
321
322
323
324
325
331
332
333
334
335
341
342
343
351
352
411
412
413
421
422
431
432
441
511
512
513
514
515
516
521
522
531
532
541
542
543
544
545
546
547
548
549
550
611
612
613
621
622
631
632
633
634
711
712
713
721
722
723
724
725
731
732
733
734
735
736
737
738
739
741
742
751
752
753
754
755
756
757
811
812
813
814
815
816
818
821
831
832
833
834
835
836
837
911
912
913
914
916
921
931
932
933
934
941
951
952
953
954
955
956
961
962
963
964
31281
0111
0112
0113
0114
0115
0116
0119
0120
0130
0141
0145
0146
0149
0150
0160
0170
0220
0230
0240
0310
0320
0610
0620
0810
1010
1020
1030
1050
1060
1070
1080
1100
1200
1310
1390
1410
1420
1430
1510
1520
1610
1620
1700
1810
1820
1920
2010
2020
2030
2100
2210
2220
2310
2390
2410
2420
2430
2510
2520
2590
2610
2630
2640
2660
2670
2680
2730
2790
2820
2930
3010
3090
3100
3210
3240
3310
3510
3530
3600
3810
3830
4100
4210
4220
4310
4320
4390
4510
4520
4530
4540
4610
4620
4630
4640
4650
4660
4690
4710
4720
4730
4740
4750
4760
4770
4780
4790
4910
4920
5020
5110
5120
5210
5220
5310
5510
5520
5590
5610
5620
5630
5810
5910
6010
6020
6110
6120
6190
6200
6310
6320
6410
6420
6490
6610
6620
6810
6820
6910
6920
7010
7110
7310
7320
7410
7420
7500
7720
7730
7740
7810
7910
7920
8010
8110
8120
8130
8210
8220
8230
8290
8410
8420
8510
8520
8530
8540
8550
8610
8620
8690
8790
9000
9200
9310
9410
9420
9490
9510
9520
9600
9900
9990
31276
17976
1
2
3
4
5
6
7
8
Sysmiss
31261
17991
1
2
3
4
5
Sysmiss
31225
18027
1
90
43.072
16.665
31225
18027
1
30
24.16
7.018
31252
18000
1
2
Sysmiss
11325
37927
1
2
Sysmiss
31160
18092
1
2
Sysmiss
17519
31733
1
2
3
4
Sysmiss
31277
17975
1
2
3
4
Sysmiss
7441
011
111
134
141
143
221
222
224
225
232
233
234
235
241
263
264
265
312
313
321
324
325
331
332
333
341
343
411
421
441
511
512
513
514
516
521
531
532
541
542
543
544
545
546
548
550
611
612
621
622
631
632
634
711
712
721
722
723
724
725
731
734
735
737
738
739
741
742
751
753
754
755
757
811
813
816
832
833
834
835
836
911
912
913
914
916
921
931
932
933
934
941
951
954
955
956
961
962
963
964
7441
0111
0112
0113
0114
0115
0116
0119
0120
0130
0141
0145
0146
0149
0160
0170
0220
0230
0310
0320
0810
0990
1010
1020
1060
1070
1100
1310
1390
1410
1430
1610
1620
1810
2020
2100
2390
2510
2590
3100
3210
3310
3510
3600
3810
3830
4100
4210
4220
4390
4520
4540
4620
4630
4640
4660
4690
4710
4720
4730
4740
4750
4760
4770
4780
4790
4920
5220
5510
5610
5620
5820
5920
6310
6490
6610
6620
6810
7420
7500
7710
7720
7730
7910
8010
8120
8210
8410
8420
8510
8520
8530
8540
8550
8610
8620
8690
9000
9200
9310
9320
9490
9510
9520
9600
9900
9990
7441
41811
1
2
3
4
5
6
7
Sysmiss
7441
41811
1
2
3
4
5
Sysmiss
7441
41811
1
74
17.666
10.167
7441
41811
1
30
19.979
9.949
7413
41839
1
2
Sysmiss
3507
45745
1
2
Sysmiss
5037
44215
1
2
3
4
Sysmiss
724
48528
1
42
8.254
5.167
684
48568
1
2
Sysmiss
31207
18045
1
126
47.463
16.871
14078
35174
48000000
631063.091
796259.313
31267
17985
1
2
3
Sysmiss
339
48913
3
56
17.655
8.523
363
48889
1
70
19.986
12.303
363
48889
1
2
Sysmiss
363
48889
1
2
3
Sysmiss
309
48943
1
2
3
4
5
6
7
8
9
10
12
Sysmiss
18017
31235
1
2
Sysmiss
71
49181
1
2
3
4
5
Sysmiss
21
49231
1
2
3
4
5
Sysmiss
8
49244
1
2
3
4
6
Sysmiss
70
49182
1
2
Sysmiss
71
49181
70
45.465
17.37
59
49193
1
2
3
4
5
6
7
9
12
Sysmiss
17950
31302
1
2
3
4
5
6
7
8
9
Sysmiss
298
48954
1
2
3
4
5
6
7
8
10
11
12
14
17
18
20
Sysmiss
308
48944
1
2
Sysmiss
49252
49142
49142
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
49139
3
1
2
3
4
5
6
7
8
9
Sysmiss
31871
17271
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
31875
011
111
112
121
122
131
132
133
134
141
142
143
213
214
216
221
222
223
224
225
226
231
232
233
234
235
241
242
243
251
252
261
263
264
265
311
312
313
315
321
323
324
325
331
332
333
334
335
341
342
343
351
352
411
412
413
421
422
431
432
441
511
512
513
514
515
516
521
522
531
532
541
542
543
544
545
546
547
548
549
550
611
612
613
621
622
631
632
633
634
711
712
713
721
722
723
724
725
731
732
733
734
735
736
737
738
739
741
742
751
752
753
754
755
757
811
812
813
814
815
816
818
821
831
832
833
834
835
836
837
911
912
913
914
916
921
931
932
933
934
941
951
952
953
954
955
956
961
962
963
964
31874
17268
1
2
3
4
5
Sysmiss
31875
0111
0112
0113
0114
0115
0116
0119
0120
0130
0141
0145
0146
0149
0150
0160
0170
0220
0230
0240
0310
0320
0510
0810
1010
1020
1030
1050
1060
1070
1080
1100
1200
1310
1390
1410
1420
1430
1510
1520
1610
1620
1700
1810
1820
1920
2010
2020
2030
2100
2210
2220
2310
2390
2410
2420
2430
2510
2590
2610
2630
2640
2660
2680
2730
2790
2820
2930
3010
3090
3100
3210
3240
3310
3510
3520
3530
3600
3810
3830
4100
4210
4220
4310
4320
4390
4510
4520
4530
4540
4610
4620
4630
4640
4650
4660
4690
4710
4720
4730
4740
4750
4760
4770
4780
4790
4910
4920
4930
5010
5020
5110
5120
5210
5220
5310
5510
5520
5590
5610
5620
5630
5810
5910
5920
6010
6020
6110
6120
6190
6200
6310
6320
6410
6420
6490
6610
6620
6810
6820
6910
6920
7010
7110
7310
7320
7410
7420
7500
7720
7730
7740
7810
7910
7920
8010
8020
8110
8120
8130
8210
8220
8290
8410
8420
8510
8520
8530
8540
8550
8610
8620
8690
8790
9000
9200
9310
9410
9420
9490
9510
9520
9600
9900
9990
31875
17267
1
2
3
4
5
6
7
8
Sysmiss
49125
17
1
2
3
4
5
6
7
8
9
10
11
Sysmiss
44432
4710
1
2
3
4
Sysmiss
49142
51221
100101
2402212
1012079.483
627103.899
51221
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
51219
2
1
2
3
4
5
6
7
8
9
10
11
13
Sysmiss
51221
1
2
51221
1
2
51189
32
1
2
Sysmiss
40960
10261
23
6.927
3.776
40961
10260
98
8.711
11.926
40974
10247
1
2
Sysmiss
12077
39144
21
7.005
4.589
12077
39144
1
2
3
4
6
7
Sysmiss
12111
39110
1
2
Sysmiss
4794
46427
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
51221
1
2
3033
48188
1
2
Sysmiss
1756
49465
1
2
3
4
5
6
Sysmiss
51188
33
1
2
Sysmiss
11687
39534
22
6.398
4.65
51216
5
56000000
31974.467
372647.691
51216
5
12280000
39765.929
234457.941
51216
5
4000000
8506.275
40346.885
51216
5
4500000
12158.775
57521.055
51216
5
31200000
79121.122
330316.552
51216
5
9600000
13318.235
123713.666
51216
5
600000
571.128
5415.715
51216
5
57428000
185415.931
767926.908
51221
53968
53968
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
53968
1
2
7794
46174
1
2
3
4
5
Sysmiss
7822
46146
1
2
Sysmiss
7822
46146
1
2
3
Sysmiss
642
53326
1
30
13.966
10.784
7822
46146
1
2
Sysmiss
53968
1
2
3
4
5
6
53968
25
0.257
0.783
7749
46219
1
98
9.017
3.815
3794
50174
1
98
9.498
4.681
7651
46317
1
2
Sysmiss
417
53551
1
30
6.132
5.975
7708
46260
4000000
13154.405
78354.443
7740
46228
10000000
115040.556
423844.74
7653
46315
1
2
3
4
5
6
Sysmiss
504
53464
1
2
3
4
5
6
Sysmiss
35
53933
2
3
4
5
6
Sysmiss
53968
49635
49635
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
49635
1
2
3
206
49429
1
2
3
4
5
Sysmiss
49635
207
0100701
0100706
0101004
0102104
0102411
0102906
0103512
0104705
0104806
0201605
0204507
0204509
0204512
0300510
0300511
0300706
0300804
0300902
0302704
0302802
0302910
0303310
0304902
0305504
0307212
0307301
0307304
0307307
0307401
0307704
0310606
0311103
0311104
0500712
0503706
0505405
0505410
0506901
0507803
0601109
0601303
0601801
0601804
0601811
0602011
0602708
0603411
0604209
0604404
0700302
0700304
0702702
0702703
0702706
0801202
0801204
0801205
0801206
0801208
0801210
0801212
0803402
0803601
0803603
0803604
0803611
0803612
0900801
1000208
1000411
1001102
1001112
1001402
1100811
1205601
1207010
1210204
1301105
1400312
1400705
1400804
1401210
1402401
1402412
1402704
1403103
1403809
1404004
1500911
1501703
1502912
1600108
1600109
1600308
1601903
1601905
1601907
1601909
1601912
1700911
1701406
1701801
1701805
1702109
1702301
1702302
1702303
1702306
1702401
1702702
1703306
1704708
1705710
1705801
1705802
1800311
1801511
1801512
1801706
1901905
2001401
2002101
2002601
2100504
2100509
2100604
2101807
2102605
2102901
2102912
2103003
2103004
2103010
2200710
2200804
207
1
2
3
4
5
6
7
8
9
207
1
2
3
4
6
9
169
38
1
2
3
4
Sysmiss
132
75
1
2
Sysmiss
207
1
2
3
4
159
48
1
2
3
Sysmiss
128
79
1
2
3
Sysmiss
207
1
2
207
1
2
52
155
1
2
Sysmiss
52
155
1
2
Sysmiss
52
155
2
Sysmiss
52
155
1
2
Sysmiss
52
155
1
2
Sysmiss
52
155
1
2
Sysmiss
52
155
1
2
Sysmiss
52
155
1
2
Sysmiss
52
155
2
Sysmiss
207
1
2
207
1
2
207
1
2
207
1
2
207
1
2
207
2
207
010070102
010070601
010070602
010100402
010100403
010100405
010210401
010210402
010241101
010241102
010290601
010290602
010351203
010351204
010351205
010470502
010480603
020160502
020450703
020450903
020451203
030051004
030051104
030070602
030080402
030090204
030090205
030270401
030280201
030280202
030291002
030331004
030490203
030550402
030550403
030550404
030550405
030721201
030730103
030730104
030730403
030730706
030740102
030770402
031060602
031110301
031110302
031110401
031110402
050071201
050370602
050540501
050540502
050541001
050541002
050690102
050690105
050780301
050780302
060110901
060130303
060180103
060180104
060180403
060181103
060181104
060201104
060201105
060270805
060341102
060420906
060440404
060440405
070030205
070030403
070270204
070270303
070270602
080120201
080120202
080120203
080120401
080120402
080120501
080120502
080120601
080120602
080120603
080120604
080120605
080120801
080120802
080120803
080120804
080120805
080120806
080121001
080121002
080121003
080121004
080121201
080121202
080121203
080121204
080340201
080360101
080360102
080360103
080360301
080360302
080360303
080360304
080360401
080360402
080361101
080361102
080361103
080361104
080361201
080361202
090080102
100020802
100041101
100110204
100111201
100140202
100140203
100140204
110081102
120560102
120701002
121020401
130110501
140031204
140070503
140080403
140080404
140121002
140240102
140241201
140270404
140270405
140310304
140310305
140380902
140400403
150091102
150170304
150291206
160010802
160010904
160030802
160190303
160190504
160190704
160190705
160190905
160190906
160191202
170091104
170140602
170180102
170180504
170180505
170210902
170230103
170230104
170230206
170230207
170230208
170230209
170230303
170230605
170230606
170230607
170240102
170270203
170330602
170470801
170470802
170571002
170580101
170580102
170580201
180031103
180151104
180151203
180170601
180170602
190190502
200140104
200210101
200260102
210050402
210050902
210060403
210180701
210260502
210290103
210291203
210300303
210300304
210300402
210300403
210301002
220071001
220080402
1008
1008
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
1008
Banteay Meanchey
Battambang
Kampong Cham
Kampong Chhnang
Kampong Speu
Kampong Thom
Kampot
Kandal
Kep
Koh Kong
Kratie
Mondul Kiri
Oddar Meanchey
Pailin
Phnom Penh
Preah Sihanouk
Preah Vihear
Prey Veng
Pursat
Ratanak Kiri
Siemreap
Stung Treng
Svay Rieng
Takeo
1008
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
1008
Aek Phnum
Angk Snuol
Angkor Borei
Angkor Chey
Angkor Chum
Angkor Thum
Anlong Veaeng
Aoral
Ba Phnum
Bakan
Banan
Banteay Ampil
Banteay Meas
Banteay Srei
Bar Kaev
Baray
Baribour
Basedth
Batheay
Bati
Bavel
Borei Cholsar
Botum Sakor
Chamkar Leu
Chamkar Mon
Chantrea
Chetr Borei
Cheung Prey
Chey Saen
Chhaeb
Chhloung
Chhuk
Chi Kraeng
Choam Khsant
Chol Kiri
Chong Kal
Chum Kiri
Dambae
Dang Tong
Dangkao
Doun Penh
Kaev Seima
Kamchay Mear
Kampong Leaeng
Kampong Rou
Kampong Seila
Kampong Siem
Kampong Svay
Kampong Trabaek
Kampong Trach
Kampong Tralach
Kamrieng
Kandal Stueng
Kandieng
Kang Meas
Kanhchriech
Kaoh Andaet
Kaoh Nheaek
Kaoh Soutin
Kaoh Thum
Khsach Kandal
Kien Svay
Kiri Sakor
Kiri Vong
Koas Krala
Kong Pisei
Koun Mom
Krakor
Kralanh
Krong Ban Lung
Krong Battambang
Krong Bavet
Krong Chbar Mon
Krong Doun Kaev
Krong Kaeb
Krong Kampong Cham
Krong Kampong Chhnang
Krong Kampot
Krong Khemarak Phoumin
Krong Kracheh
Krong Pailin
Krong Paoy Paet
Krong Preah Sihanouk
Krong Preah Vihear
Krong Prey Veng
Krong Pursat
Krong Saen Monourom
Krong Samraong
Krong Serei Saophoan
Krong Siem Reab
Krong Stueng Saen
Krong Stueng Traeng
Krong Suong
Krong Svay Rieng
Krong Ta Khmau
Krouch Chhmar
Kuleaen
Leuk Daek
Lumphat
Lvea Aem
Malai
Me Sang
Mean Chey
Memot
Mondol Seima
Mongkol Borei
Moung Ruessei
Mukh Kampul
Odongk
Ou Chrov
Ou Chum
Ou Reang
Ou Reang Ov
Ou Ya Dav
Pea Reang
Peam Chor
Peam Ro
Pech Chreada
Phnom Proek
Phnum Kravanh
Phnum Srok
Phnum Sruoch
Ponhea Kraek
Popnhea Lueu
Pou Rieng
Pou Senchey
Prampir Meakkakra
Prasat Bakong
Prasat Ballangk
Prasat Sambour
Preaek Prasab
Preah Netr Preah
Preah Sdach
Prey Chhor
Prey Kabbas
Prey Nob
Puok
Rolea B'ier
Romeas Haek
Rotonak Mondol
Rovieng
Ruessei Kaev
Rukhak Kiri
Rumduol
S'ang
Saensokh
Sambour
Sameakki Mean Chey
Samlout
Sampov Lun
Samraong
Samraong Tong
Sandan
Sangkae
Sangkum Thmei
Santuk
Sesan
Siem Bouk
Siem Pang
Sithor Kandal
Snuol
Soutr Nikom
Srae Ambel
Srei Santhor
Srei Snam
Stoung
Stueng Trang
Svay Antor
Svay Chek
Svay Chrum
Svay Leu
Svay Teab
Ta Veaeng
Tboung Khmum
Thala Barivat
Thma Bang
Thma Koul
Thma Puok
Thpong
Tram Kak
Trapeang Prasat
Treang
Tuek Chhou
Tuek Phos
Tuol Kouk
Varin
Veal Veaeng
Veun Sai
1008
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
22
28
1008
Achar Leak
Amleang
Ampil
Ampil Pram Daeum
Ampil Ta Pok
Ampil Tuek
Ampov Prey
Andaung Tuek
Andoung Khmer
Ang Ta Saom
Angk Kaev
Angk Popel
Angk Prasat
Angk Prasrae
Angkanh
Angkor Ban
Angkor Borei
Anhchaeum
Anlong Romiet
Anlong Run
Anlong Samnar
Anlong Veaeng
Anlong Vil
Ansa Chambak
Areaks Tnot
B'er
Ba Srae
Ba Tang
Baek Chan
Bak Dav
Bak Kaeng
Bak Sna
Bakong
Ballangk
Ban Kam
Banlich Prasat
Banteay Chakrei
Banteay Chhmar
Banteay Neang
Banteay Stoung
Baray
Basak
Basedth
Batheay
Bavel
Beng
Bet Trang
Boeng Bat Kandal
Boeng Daol
Boeng Kak Ti Muoy
Boeng Kak Ti Pir
Boeng Keng Kang Bei
Boeng Keng Kang Muoy
Boeng Keng Kang Pir
Boeng Khnar
Boeng Kok
Boeng Konseng
Boeng Krum
Boeng Lvea
Boeng Mealea
Boeng Preah
Boeng Pring
Boeng Prolit
Boeng Reang
Boeng Salang
Boeng Trabaek
Boeng Tranh Khang Cheung
Boeng Tranh Khang Tboung
Boeng Tumpun
Borei Cholsar
Bos Khnaor
Bos Mon
Bos Sbov
Bour
Bu Sra
Chaeung Daeung
Chak
Chak Angrae Kraom
Chak Angrae Leu
Chakto Mukh
Cham
Chambak
Chamkar Andoung
Chamkar Luong
Chamkar Samraong
Chamnaom
Chamnar Kraom
Champei
Chamraeun
Changkrang
Chanleas Dai
Chant Saen
Chaom Chau
Chaom Ta Mau
Char
Char Chhuk
Chbar Mon
Chea Khlang
Cheach
Cheang Daek
Cheang Tong
Cheung Kreav
Cheung Kuon
Cheung Prey
Chey Chummeah
Chhaeb Muoy
Chhbar Ampov Ti Muoy
Chhbar Ampov Ti Pir
Chheu Kach
Chheu Teal
Chheu Tom
Chhloung
Chhuk
Chhuk Sa
Chi Kha Kraom
Chi Phoch
Chieb
Chikor
Chirou Ti Pir
Chnuor Mean Chey
Choam
Choam Sangkae
Chob
Chol Sar
Chong Ampil
Chong Cheach
Chong Doung
Chong Kal
Chong Knies
Chong Phlah
Chongruk
Chraneang
Chrang Chamreh Ti Muoy
Chrang Chamreh Ti Pir
Chranouk
Chreav
Chres
Chrey
Chrey Bak
Chrey Loas
Chrey Seima
Chrey Thum
Chrey Vien
Chrolong
Chrouy Changvar
Chrouy Neang Nguon
Chrouy Ta Kaev
Chrung Popel
Chumnik
Chumpu Voan
Daeum Mien
Daeum Rues
Dak Dam
Dam Daek
Dambouk Rung
Damnak Kantuot Khang Cheung
Damrei Choan Khla
Damrei Puon
Damril
Dan Koum
Dan Run
Dang Tong
Dangkao
Dar
Dei Edth
Doun Sa
Doun Yay
Doung
Dountei
Haong Samnam
Kachanh
Kaeb
Kak
Kakab
Kakaoh
Kamboul
Kampeaeng
Kampong Bay
Kampong Cham
Kampong Chamlang
Kampong Chen Cheung
Kampong Chhnang
Kampong Hau
Kampong Kandal
Kampong Kdei
Kampong Khleang
Kampong Kor
Kampong Kou
Kampong Krabau
Kampong Kraeng
Kampong Krasang
Kampong Luong
Kampong Os
Kampong Phnum
Kampong Popil
Kampong Prasat
Kampong Reab
Kampong Samnanh
Kampong Soeng
Kampong Sralau Pir
Kampong Svay
Kampong Thum
Kampong Trach
Kampong Trach Khang Kaeut
Kampong Tralach
Kamrieng
Kandaek
Kandaol Chrum
Kandaol Dom
Kandieng
Kandoeng
Kang Cham
Kanhcham
Kanhchor
Kansoam Ak
Kantaok
Kantreang
Kantueu Muoy
Kantuot
Kaoh Chiveang
Kaoh Chum
Kaoh Dach
Kaoh Khael
Kaoh Oknha Tei
Kaoh Peak
Kaoh Roka
Kaoh Sampov
Kaoh Sdach
Kaoh Sotin
Kaoh Sralay
Kaoh Thum Ka
Kaoh Touch
Kaong Kang
Kaos Krala
Kat Phluk
Kbal Kaoh
Kbal Trach
Kdei Run
Kdoeang Reay
Kdol Daun Teav
Kear
Keh Chong
Khchas
Khchau
Khlang Meas
Khlong Popok
Khmuonh
Khnach Romeas
Khnar Chhmar
Khnar Sa
Khnat
Khpob
Khpob Ta Nguon
Khsam
Khsem Khsant
Khtum Krang
Khvav
Khvet Thum
Khyang
Kien Chrey
Kilomaetr Lekh Prammuoy
Klaeng
Kokir
Kokir Saom
Kokir Thum
Kong Chey
Kor
Kou Khchak
Koub
Kouk Ballangk
Kouk Chak
Kouk Doung
Kouk Khmum
Kouk Mon
Kouk Prech
Kouk Pring
Kouk Romiet
Kouk Srok
Kouk Thlok Kraom
Kouk Trab
Koun Kriel
Koy Trabaek
Kracheh
Kraek
Krakor
Krala
Krang Ampil
Krang Chek
Krang Dei Vay
Krang Leav
Krang Mkak
Krang Skear
Krang Thnong
Krang Yov
Kranhung
Krapeu Pir
Krapum Chhuk
Krava
Kraya
Krouch
Krouch Chhmar
Kruos
Kuleaen Tboung
Kumru
Kus
L'ang
Labansiek
Lbaeuk
Leach
Leang Dai
Leay Bour
Leuk Daek
Lolok Sa
Lumchang
Lve
Lvea
Lvea Krang
Lvea Leu
Lveaeng Ruessei
Me Sar Chrey
Me Tuek
Melum
Memong
Memot
Mesa Prachan
Mien
Mittakpheap
Mkak
Moha Leaph
Moha Ruessei
Moha Sang
Mong Riev
Monourom
Mream
Msar Krang
Mukh Da
Mukh Paen
Nam Tau
Neareay
Ngan
Nhaeng Nhang
Nhor
Nipechr
Nirouth
Nitean
Norea
Norkor Pheas
Otdam Soriya
Ou
Ou Ambel
Ou Beichaon
Ou Char
Ou Chrov
Ou Da
Ou Dambang Pir
Ou Kanthor
Ou Krieng
Ou Prasat
Ou Ruessei
Ou Ruessei Ti Bei
Ou Ruessei Ti Buon
Ou Ruessei Ti Muoy
Ou Ruessei Ti Pir
Ou Saray
Ou Smach
Ou Sralau
Ou Ta Ki
Ou Ta Paong
Oulampik
Pak Khlang
Pak Nhai
Pdau Chum
Pea Ream
Peam
Peam Aek
Peam Chhkaok
Peam Kaoh Snar
Peam Montear
Peam Prathnuoh
Peam Ro
Pean Roung
Peang Lvea
Pech Chenda
Pech Sar
Peuk
Peus Pir
Ph' av
Pheari Mean Chey
Phleung Chheh Roteh
Phnom Penh Thmei
Phnom Prasat
Phnum Bat
Phnum Kong
Phnum Lieb
Phnum Sampov
Phnum Tbaeng Pir
Phnum Touch
Phong
Phsar Chas
Phsar Chhnang
Phsar Daek
Phsar Daeum Kor
Phsar Daeum Thkov
Phsar Depou Ti Bei
Phsar Depou Ti Muoy
Phsar Depou Ti Pir
Phsar Kandal Ti Muoy
Phsar Kandal Ti Pir
Phsar Thmei Ti Bei
Phsar Thmei Ti Pir
Phteah Kandal
Phteah Prey
Phteah Rung
Phum Thum
Pneay
Pong Tuek
Pongro
Pongro Kraom
Ponley
Ponsang
Popeaet
Popel
Popueus
Pou Angkrang
Pou Mreal
Pou Rumchak
Pou Ti
Pouthi Reach
Pouy
Poy Char
Pralay
Prambei Mum
Prasat
Pratheat
Preaek Aeng
Preaek Ambel
Preaek Ampil
Preaek Anhchanh
Preaek Anteah
Preaek Chik
Preaek Chrey
Preaek Dach
Preaek Dambang
Preaek Dambouk
Preaek Hou
Preaek Kampues
Preaek Khpob
Preaek Khsay Ka
Preaek Khsay Kha
Preaek Koy
Preaek Krabau
Preaek Lieb
Preaek Norint
Preaek Phnov
Preaek Phtoul
Preaek Pra
Preaek Preah Sdach
Preaek Ruessei
Preaek Rumdeng
Preaek Saman
Preaek Sdei
Preaek Ta Meak
Preaek Ta Nong
Preaek Ta Sar
Preaek Thmei
Preaek Tnoat
Preah Bat Choan Chum
Preah Dak
Preah Damrei
Preah Nipean
Preah Ponlea
Preah Pralay
Preah Rumkel
Preah Srae
Preah Theat
Preak Kak
Preak Netr Preah
Preal
Prei
Prey Ampok
Prey Khnes
Prey Khpos
Prey Kokir
Prey Krasang
Prey Lvea
Prey Nheat
Prey Nhi
Prey Pnov
Prey Poun
Prey Rumdeng
Prey Rumduol
Prey Sa
Prey Sralet
Prey Svay
Prey Ta Hu
Prey Touch
Prey Tueng
Prey Vihear
Prey Yuthka
Pring Chrum
Pring Thum
Psar Kandal
Puk Ruessei
Puok
Raksa
Reab
Reaksmei
Ream
Reang Kesei
Reang Til
Reathor
Reay Pay
Reul
Ro'ang
Roka
Roka Kaoh
Roka Khnong
Roka Khpos
Roka Koy
Roka Krau
Roka Po Pram
Roka Thum
Rokat
Rolea B'ier
Roleab
Roleang Chak
Roleang Kaen
Roleang Kreul
Roluos
Romeang Thkaol
Romonea
Ronak Ser
Roneam
Rotanak
Roung Damrei
Roung Kou
Rovieng
Ruessei Chrouy
Ruessei Chrum
Ruessei Kaev
Ruessei Kraok
Ruessei Lok
Ruessei Sanh
Ruessei Srok Khang Lech
Rumchek
Rumlech
Rung Chrey
Rung Roeang
Saeb
Saen Dei
Saen Sokh
Saeng
Sak Sampov
Sakream
Sala Kamraeuk
Sambatt Mean Chey
Sambok
Sambour
Sambuor
Sambuor Meas
Sameakki
Samkuoy
Samlei
Sampong Chey
Sampov Pun
Samprouch
Samraong
Samraong Kraom
Samraong Leu
Samraong Saen
Samraong Thum
Samraong Tong
San Kor
Sandaek
Sandar
Sangkat Baray
Sangkat Bavet
Sangkat Bei
Sangkat Buon
Sangkat Kampong Pranak
Sangkat Muoy
Sangkat Nimit
Sangkat Pailin
Sangkat Pal Hal
Sangkat Paoy Paet
Sangkat Pou Rieng (Kampong Leav)
Sangkat Prasat
Sangvaeuy
Santepheap
Saom
Sarongk
Sasar Sdam
Sdach Kong Khang Tboung
Sdau
Sdok Pravoek
Seang Khveang
Seda
Sekong
Setbou
Siem Reab
Sithor
Skuh
Sla
Sla Kram
Smach Mean Chey
Smaong
Smaong Khang Cheung
Smaong Khang Tboung
Snam Krapeu
Snam Preah
Snao
Snoeng
Snuol
Sochet
Soengh
Sokh Sant
Sopoar Tep
Souphi
Sour Kong
Sour Phi
Soutip
Spean Sraeng
Spueu Ka
Sra'aem
Srae Char
Srae Chea Khang Cheung
Srae Chis
Srae Khtum
Srae Knong
Srae Nouy
Srae Thmei
Srah Chak
Srah Reang
Srah Ruessei
Sralab
Sralau
Srama
Sranal
Srang
Srayov
Stueng Kaev
Stueng Mean chey
Stueng Traeng
Sung
Suong
Svay
Svay Ampear
Svay Chacheb
Svay Chek
Svay Chrum
Svay Chuk
Svay Dankum
Svay Khleang
Svay Kravan
Svay Leu
Svay Luong
Svay Pak
Svay Pao
Svay Phluoh
Svay Pou
Svay Rieng
Svay Rolum
Svay Rumpear
Svay Sa
Svay Teab
Svay Thum
Svay Toea
Svay Yea
Ta Ang
Ta Kao
Ta Kdol
Ta Khmau
Ta Kong
Ta Kream
Ta Krei
Ta Lon
Ta Lou
Ta Meun
Ta Phem
Ta Phou
Ta Prok
Ta Pun
Ta Pung
Ta Sal
Ta Sanh
Ta Saom
Ta Suos
Ta Veaeng Leu
Ta Yaek
Takaen
Tang Krasang
Tang Krasau
Tang Samraong
Tang Sya
Tani
Tbaeng
Techor Aphivath
Theay
Thlat
Thlea Prachum
Thlok
Thlok Vien
Thma Edth
Thma Pun
Thma Puok
Thmei
Thummoda Ar
Ti Pou
Tien
Tnaot
Tnaot Chum
Tonle Basak
Tonle Bet
Tonlung
Trach Tong
Traeng
Traeng Trayueng
Traeuy Sla
Tram Kak
Trapeang Chour
Trapeang Kong
Trapeang Kraham
Trapeang Krasang
Trapeang Phlong
Trapeang Prasat
Trapeang Preah
Trapeang Pring
Trapeang Ruessei
Trapeang Sab
Trapeang Sangkae
Trapeang Srae
Trapeang Tav
Trapeang Thum
Trapeang Thum Khang Cheung
Trapeang chorng
Tras
Trea
Trean
Trei Nhoar
Triel
Tuek Chour
Tuek L'ak
Tuek L'ak Ti Bei
Tuek L'ak Ti Muoy
Tuek L'ak Ti Pir
Tuek Thla
Tuek Vil
Tuk Meas Khang Kaeut
Tumnob
Tumnob Tuek
Tumpoar Meas
Tuol Ampil
Tuol Khpos
Tuol Preak Khleang
Tuol Sala
Tuol Sangkae
Tuol Snuol
Tuol Svay Prey Ti Muoy
Tuol Svay Prey Ti Pir
Tuol Ta Aek
Tuol Tumpung Ti Muoy
Tuol Tumpung Ti Pir
Vaot Ta Moem
Veal
Veal Pon
Veal Pong
Veal Renh
Veal Sbov
Veal Vong
Veang Chas
Vihear Luong
Vihear Suork
Voa Sa
Voat Angk Khang Tboung
Voat Phnum
Wat Kor
Yea Angk
Yutth Sameakki
1008
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
26
27
1008
A Chen
Ambaeng Cheh
Ampeae Phnum
Ampil Chrum
Ampil Chum
Ampil Leu
Ampil Peam
Ampov Prey
Ampuk
Andoung Chek
Andoung Chenh
Andoung Chi Meun
Andoung Phdau
Andoung Samretth
Ang
Angk
Angk Khloam
Angk Kokir
Angk Krouch
Angk Preah
Angk Ta Saom
Angk Trav
Angkanh
Angkea Dei
Angkor Ban Ti Bei
Angkrang
Anlong Barang
Anlong Kokir
Anlong Meas
Anlong Phe
Anlong Sdei
Annachet
Aoral
Bacham
Baeun
Bak Dav Leu
Bak Nim
Bak Sna Kraom
Baliley Muoy
Ballangk Khang Lech
Bang Bat
Banghaeur Khlaeng
Banteay Choar
Banteay Mean Rit
Banteay Stoung
Banteay Yumreach
Baray
Baray Lech
Baribour
Basak
Bati
Battachi 1
Bavet Leu
Beng
Beng Thmei
Boeng Basak
Boeng Chroung
Boeng Chrouy
Boeng Chum
Boeng Doun Pa
Boeng Kaek
Boeng Krum Kraom
Boeng Prei
Boeng Totea
Boeng Tuem
Boeung Popul
Bos Kor
Bos Mon Kraom
Bos Touch
Bou Pueng
Chacheb
Chaek Angkar
Chak
Chakto Louk
Chambak
Chambak Haer
Chambak Kuy
Chambak Meas
Chambak Run Khang Cheung
Chambak Thum
Chamkar Chek
Chamkar Chek Khang Tboung
Chamkar Doung
Chamkar Khloy
Chamkar Kuoy Lech
Chamkar Samraong 2
Chamnaom Kaeut
Chamnaot Ream
Champu Voan
Chan Hier
Chan Kiri
Chanleas Dai
Chant Nimitt
Chantu
Char
Char Thmei
Chea Khnang
Chea Montrei
Cheach Kaeut
Chey Chumneah
Chey Ta Kuon
Chhaeb Lech
Chheu Taep
Chheu Teal
Chhneah Chey Leu
Chhuk
Chhuk Khang Tboung
Chhuk Sa
Chi Ab
Chi Tok
Choam
Choam Thlok
Chob Krau
Chok Sras Andoung
Chong Angkar
Chong Angkrang
Chong Boeng
Chong Kaoh
Chong Kausu
Chong Preaek
Chong Thnal Ti Pir
Chongruk
Choung Trodok
Chrak Khlong
Chrang Totueng
Chreav
Chres
Chrey Kaong
Chrolong
Chrolong Phlov
Chrouy Changhar
Chrouy Chreae
Chrouy Neang Nguon
Chrouy Snaeng Krabei Leu
Chrouy Snao
Chrouy Ta Pa
Chrouy Thma Kraom
Chumnik
Chumrov
Dab Meakkakra
Dabbei Meakkakra
Daeum Angkaol
Daeum Chan
Daeum Kor
Daeum Slaeng
Dak Phka
Dam Daek Leu
Dambang Daek
Damnak Kantuot
Damnak Kralanh
Damrei Sa
Dan Koum Khang Cheung
Dang Kdar
Dangkieb Kdam
Dei Kraham
Dot Kambaor
Doun Chraeng
Doun Dei
Doun Ma
Doun Penh
Doun Tri
Doun Yay
Doung
Doung Preah
Duong Mea
Han Tvear
Hangs Chhuk
K'aek Pong
K'aek Tum
Ka Kou
Kab Koang
Kab Tuk
Kaev Krasang
Kakot
Kamboul
Kampeut
Kampong Bay Khang Cheung
Kampong Popil
Kampong Pou
Kampong Prasat
Kampong Preah Ent
Kampong Svay
Kampong Tuol
Kampout Mreak
Kampouv
Kamprang
Kampung Os
Kamraeng
Kan Chhaeung
Kandal
Kandal Kaoh Touch
Kandal Muoy
Kandal Tboung
Kandaol Kaong
Kandieng
Kandoeng Thum
Kang Cham
Kang Daek
Kanhchhaet
Kanhchil
Kanhchon Chrov
Kanhchor
Kansaeng
Kantrak
Kantuot
Kaoh Chamraeun
Kaoh Chas
Kaoh Dechou
Kaoh Kaev
Kaoh Kou
Kaoh Pao
Kaoh Peak
Kaoh Svay
Kaoh Ta Chan
Kaoh Touch
Kapal Koeang
Kapphluk
Kasang
Kbal Cham
Kbal Damrei
Kbal Kaoh Thum
Kbal Ou
Kbal Pou
Kbal Snuol
Kbal Spean
Kbal Spean Mouy
Kbal Spean Pir
Kbal Taol
Kdak
Kdei
Kdol
Kdol Phsar
Khchas
Khdei Run
Khlaeng Poar Cheung
Khleang
Khleang Prak
Khlong Popok
Khmar
Khnach Khang Tboung
Khnach Romeas
Khnar
Khnor
Khsach Pouy
Khtum Krang
Khvan
Khyang
Khyaok Tboung
Kien Kaes Muoy
Kien Romiet
Kilou Dabpir
Kilou Prampir
Kla Koun Thmey
Klang Lae
Kngaok
Knong
Knong Veang
Kok Trom Ka
Kokir
Kokir Cheung
Kol
Komar
Kong Tum
Kor
Kouk Beng
Kouk Char
Kouk Chhuk
Kouk Kor
Kouk Pnov
Kouk Reang
Kouk Ruessei Cheung
Kouk Sandaek
Kouk Sangkae
Kouk Tiem
Kouk Tnaot
Kouk Trach
Kouk Treas
Koul
Koun Damrei
Krachab
Krakor
Krala Peas
Kralanh
Krang
Krang Angkrang 2
Krang Banteay
Krang Daeum
Krang Doung
Krang Krouch
Krang Ta Saen
Krang Thnong
Krapeu Ha
Krapeu Ha Kout
Krapeu Pir Kraom
Krasang
Krasang Pul
Krasang Ta Kong
Krasang Ta Mong
Kraya Tboung
Kreng
Krouch
Krouch Chhmar
Krouch Chhmar Leu
Kruos
Kser
Kuleaen Tboung
Kumpout Chhuk
Lbaeuk
Leav
Lek Muoy
Lek Prammuoy
Lekh Muoy
Liek
Lumphat
Lvea
Lvea Cheung
Lvea Thum
Me Lob
Meakh Pir
Mean Chouk
Memong
Mesa Prachan Kraom
Mitakpheap
Mitakpheap 1
Mittapheap
Moeang Char
Moha Leaph Cheung
Mphey Osakphea
Mream Khang Cheung
Mream Teak
Msar Krang Tboung
Nam Tau
Neang Chan
Nipechr Kha
Norea Muoy
Noreay
Otdam
Otdong
Ou Dambang
Ou Kambot
Ou Kansaeng
Ou Karong
Ou Kralang Duol
Ou Lpov
Ou Lvea
Ou Mal
Ou Preah
Ou Rona
Ou Roung
Ou Ruessei Ti Muoy
Ou Run
Ou Samrae
Ou Snguot
Ou Sralau
Ou Ta Kam II
Ou Ta Pon
Ou Ta Prang
Ou Ta Puk
Ou Tey
Ou Touch
Pahi Kang Cheung
Pak Pan
Pak Poar
Pal Hal
Pana
Paoy Paet
Paoy Samraong
Paprak Khang Tboung
Peal Nheaek Muoy
Peal Nheaek Pir
Peam Ampil
Peam Chhkaok
Peam Khley
Peanea Kandal
Peani
Peanich
Peanicheakkam
Peareakkech
Peuk
Pey
Phdau Chum Lech
Pheaek
Phkong
Phlaot
Phlas Kang
Phniet
Phnum
Phnum Bak
Phnum Koub
Phnum Lieb Kaeut
Phnum Lonteah
Phsar Lech
Phsar Leu
Phsar Sameakki
Phteah Kandal Leu
Phum Muoy Ousaphea
Phum 1
Phum 10
Phum 11
Phum 12
Phum 13
Phum 14
Phum 15
Phum 16
Phum 17
Phum 19
Phum 2
Phum 23
Phum 3
Phum 4
Phum 5
Phum 6
Phum 7
Phum 8
Phum 9
Phum Anglong Krangan
Phum Bei
Phum Borei Muoy Roy Khnang
Phum Chamraeun Phal
Phum Chey Chumneah
Phum Chongthnal Khang Lech
Phum Dabbuon
Phum Daeum Ampil
Phum Damnak Thum
Phum Ka
Phum Kamraeng
Phum Kbal Tumnub
Phum Kbal Tumnub Pir
Phum Kha 2
Phum Khtor
Phum Khva
Phum Kien Kleang
Phum Kilou Bei
Phum Kleang Sang
Phum Kouk Khleang
Phum Kroal Kou
Phum La Kamboar
Phum Mean Chey
Phum Mean Chey Muoy
Phum Meattakpheap
Phum Muoy
Phum Ou Andoung
Phum Ou Andoung Muoy
Phum Ou Baek K'am
Phum Phneat
Phum Phnom Penh Thmei
Phum Phsar Touch
Phum Phsar Tuek Thla
Phum Pir
Phum Poung Peay
Phum Pram
Phum Prampir Makara
Phum Preaek
Phum Preaek Ta Long
Phum Preaek Ta Long Bei
Phum Preaek Ta Nu
Phum Preaek Takong
Phum Preaek Takong Bei
Phum Preaek Toal
Phum Preah Ponlea
Phum Prey Tituy
Phum Ruessei
Phum Ruessei Muoy
Phum Ruessei Sraoh
Phum Sammeakki
Phum Sansam Kosal 1
Phum Sansam Kosal 2
Phum Sansam Kosal 3
Phum Spean Khpos
Phum Svay Pak
Phum Ta Lei
Phum Ta Ngav
Phum Ta Ngav Kroam
Phum Ti Buon
Phum Ti Pir
Phum Ti Prambei
Phum Ti Prambuon
Phum Ti Prammuoy
Phum Tnoat Chrum
Phum Tnoat Chrum Bei
Phum Trapeang Chhuk
Phum Trea
Phum Trea Pir
Phum Tuek Thla
Phum Tumnub
Phum Tuol Kouk
Phum Tuol Roka
Phum Tuol Roka Muoy
Phum Tuol Sangkae
Phum Voat Slaeng
Pnov
Pong Andaeuk
Pongro
Ponley
Ponsay Tboung
Pontong
Pou
Pou Damnak
Pou Ent Ti Muoy
Pou Kel
Pou Mongkol
Pou Mreah
Pou Muoy
Pou Ring
Pou Roung
Pou Saen Chey
Pou Thmei
Pou Ti
Prachear Thoam Lech
Prahal
Prak
Pral
Prang Samraong
Prasat
Prasat Tbaeng
Prasatkrorhorm Senchey
Prasoutr Kha
Prasrae Kraom
Prayut
Preaek
Preaek Chik
Preaek Dach
Preaek Hour Lech
Preaek Kaev
Preaek Kanlang
Preaek Krabau Ti Bei
Preaek Krouch
Preaek Moha Tep
Preaek Pan
Preaek Reang
Preaek Reang 1
Preaek Run
Preaek Sangkae Kaeut
Preaek Sbov
Preaek Smach
Preaek Ta Kaev
Preaek Thloeng
Preaek Thmei
Preaek Thmei 1
Preaek Thum
Preaek Thum 1
Preaek Tnaot
Preaek Tralach'(Lek Pir)
Preaek Trob
Preaek Yeay Hin Pir
Preah Dak
Preah Kou Thmei
Preah Mlu
Preak Chik
Prei Pir
Prey Chek
Prey Chhieng
Prey Choar
Prey Chreang
Prey Damrei
Prey Dom
Prey Edth
Prey Kes
Prey Khla
Prey Khpos
Prey Kralanh
Prey Krang
Prey Krasang
Prey Kub
Prey Kuy
Prey Lvea
Prey Moan
Prey Mul
Prey Nheam
Prey Phdau
Prey Pnov
Prey Popel
Prey Pring Khang Cheung
Prey Rongieng
Prey Roung
Prey Ruessei
Prey Rumchek
Prey Rumdeng
Prey Rumduol Khang Lech
Prey Svay
Prey Sya
Prey Ta Pong
Prey Ta Trav
Prey Tear
Prey Thum
Prey Totueng
Prey Trom
Prey Tueng
Prey Tumnob
Prey Tuol
Prey Veaeng
Prey Veav
Prey Voa
Prey Yav
Proeksa Ti Pir
Prohut
Pruok
Psar Kandal
Pu Chhab
Pu Tong
Pu Tuet
Puk Ruessei Kraom
Puk Yuk
Ra
Ream
Reu Han
Rieng Vinh
Roka
Roka Khpos
Roka Koy Kha
Roka Leu
Roka Thum
Roleang Chak
Rolum Run Thmei
Roneah
Roung
Roung Banlae
Roung Damrei
Ruessei
Ruessei Chuk Ti Muoy
Ruessei Chuor
Ruessei Kaev
Rumchek
Rumchek 2
Rumduol Chas
Rumpeak Pen
Rung
Rung Chrey
Saen Sokh 4
Sakream Tboung
Sala
Sala Kansaeng
Sambour
Samdech Ta
Sameakki
Sameakki 4
Samkhuoy
Samnang
Sampan Kraom
Samraong
Samraong Kandal
Samraong Pir
Samraong Saen
Samraong Thum
San Kor Ka
Sandol
Sang Reang
Sangkae Bangvaer
Sangkae Chrum
Sangkae Pong
Santey
Sasar Pok
Sdau Kanlaeng 4
Sdok Chrey
Sdok Kraol
Sdok Pravoek
Sdok Thum
Seila Khmaer
Sen Chey
Serei Ao
Serei Vongs
Setbou
Skul
Slab Kdaong
Slab Ta Aon
Slaeng Kong
Sna Pi Mukh
Snaeng Krabei
Snang Mom
Snao
Snao Ti Pir
Snuol
Snuol Kaong
Soek
Sok Senchey
Sophi
Souken
Souphi
Souphi 2
Souphi Kandal
Souriya
Spean Chreav
Spean Thma
Spean Thmei
Srae Ampil
Srae Cham Leu
Srae Chan
Srae Chea
Srae Chis
Srae I
Srae Kan Chen
Srae Pou
Srae Prang
Srae Pring
Srae Sdau
Srae Thnal
Srah Sambuor
Srama Meas
Srangae
Sraong Chan
Srei Bandit
Sthani
Stueng
Stueng Chrov
Stueng Kambot
Stueng Sandaek
Sung Muoy
Suong Kaeut
Suong Lech
Svay Chan
Svay Chek
Svay Mou
Svay Poak
Svay Poan Ti Muoy
Svay Prey
Svay Rieng
Svay Sa
Svay Ta Ok
Svay Tipv
Ta Am
Ta Bun (Thnal Kaeng)
Ta Daol Ti Pir
Ta Ei
Ta Iek
Ta Kaev
Ta Kdol
Ta Khmau
Ta Khmau 3
Ta Mau
Ta Meakh
Ta Nay
Ta Neng
Ta Nguon
Ta Paeu
Ta Pang
Ta Pao
Ta Paong
Ta Poar Pir
Ta Preach
Ta Prok
Ta Ren Chou
Ta Saen
Ta Sam
Ta Sou
Ta Vien
Ta Yueng
Tang Banteay
Tarang Bal
Tbaeng
Tbaeng Kaeut
Teahean Kraom
Techor Aphivath
Thipakdei
Thkoul Thum
Thkov
Thlok
Thlok Chheu Teal
Thlok Mean
Thma Bei Dom
Thma Koul Cheung
Thmei
Thmei 2
Thmei Doun Tip
Thnal
Thnal Baek
Thnal Baek Kaeut
Thnal Chopon
Thnal Ta Saeng
Thnal toteung
Thum
Ti Prambei
Ti Prammuoy
Tnaot Chum
Toap Baoh
Toul Thnong
Trabaek
Trach Pok
Trakiet
Tram Khnar
Tram Roneab
Tramot
Traok
Trapeang Ampil
Trapeang Andoung
Trapeang Bei
Trapeang Beng
Trapeang Chheu Trav
Trapeang Chhuk
Trapeang Choek Sa
Trapeang Chrey
Trapeang Chuk
Trapeang Kak
Trapeang Khchau
Trapeang Khnar
Trapeang Khyang
Trapeang Krasang
Trapeang Kuy
Trapeang Lpeak
Trapeang Lvea
Trapeang Mnoas
Trapeang Ph'av
Trapeang Phlong Ti Pir
Trapeang Phluoh
Trapeang Pou
Trapeang Prasat
Trapeang Preah Ti Pir
Trapeang Pring
Trapeang Prolit
Trapeang Proy
Trapeang Reang
Trapeang Robang
Trapeang Roka
Trapeang Ruessei
Trapeang Rumdenh
Trapeang Rumpeak
Trapeang Run
Trapeang Sangkae
Trapeang Sdok
Trapeang Seh
Trapeang Sophi
Trapeang Srae
Trapeang Stong
Trapeang Sva
Trapeang Teab
Trapeang Thloeng
Trapeang Thlok
Trapeang Thum
Trapeang Trach
Trapeang Tras
Trapeang Trea
Trapeang Tuek Chrov
Trav
Treab
Treang
Treas
Triek
Tuek Andoung
Tuek Sen
Tuek Yong
Tumnob
Tumnubneary
Tuol
Tuol Damnak
Tuol Kouk
Tuol Krasang
Tuol Pongro
Tuol Prum Muoy
Tuol Roka
Tuol Sambatt
Tuol Sambour
Tuol Samnang
Tuol Slaeng
Tuol Snuol
Tuol Ta Aek
Vat Romdol
Veal
Veal Ampil
Veal Kriel
Veal Thum
Veal Vong
Veay
Vihear Chen
Vihear Suork Cheung
Voa Yeav
Voat
Voat Chas
Voat Svay
Voat Thmei
Ya Sam
Yeang
1008
1
50
3.213
3.755
1008
1
40
2.014
2.07
1008
1
2
1008
35
2526
363.127
323.729
1008
1
2
3
4
5
6
7
8
9
10
11
12
1008
26
7302
405.332
575.103
1008
26
215
103.46
23.46
12090
12090
12090
1
2
12090
1
2
12090
101
102
11
112
12
121
122
131
132
141
142
151
152
161
162
171
172
181
182
191
192
201
202
21
211
212
22
221
222
231
241
31
32
41
42
51
52
61
62
71
72
81
82
91
92
12090
1
10
11
12
13
14
15
2
3
4
5
6
7
8
9
12090
102.2351
103.6514
108.5484
109.0936
109.1615
109.6844
109.9604
111.2638
111.7633
1113.5305
112.1261
116.1547
116.1670
116.6504
116.7501
116.7944
117.6036
118.4333
118.5429
118.7497
119.8298
120.6911
120.8649
122.3389
123.2899
125.6656
127.3152
128.4812
128.5320
128.8482
129.1709
130.3175
130.5473
130.9105
131.0766
131.4946
133.6198
133.9606
134.6670
135.4418
135.7312
138.5790
138.5860
138.6005
138.6795
139.5047
140.2121
140.8599
140.9241
141.2681
142.2327
142.6059
143.2350
143.6670
144.2255
145.0470
145.3575
145.4255
145.9383
146.3040
146.4426
146.7336
146.8859
147.7012
147.8323
148.0967
148.4445
148.4772
149.0374
149.2198
149.5482
150.3361
151.0110
151.3653
151.5806
152.4785
152.9643
154.2061
154.6803
154.8783
155.9237
156.2978
156.5146
157.1480
157.4037
157.4936
157.5075
157.6131
158.1294
158.1387
158.2491
158.3069
158.5223
158.9161
159.2611
159.3319
159.4426
159.5409
159.7217
160.2703
160.7203
160.7404
160.8761
161.0128
161.8285
162.0271
162.6646
162.6963
162.7026
163.2690
163.5533
163.6779
163.9552
164.2136
164.2444
164.6722
164.7911
165.0486
165.0989
165.1537
165.6709
165.8998
166.2981
166.4204
166.5625
166.6737
167.1310
167.4057
167.4838
167.9745
168.3163
168.3337
168.8537
168.8711
169.8008
170.8703
170.9124
171.4806
171.6543
171.7333
171.7698
172.1631
172.3150
172.5687
173.0181
173.1492
173.3839
174.4229
174.5417
174.9128
175.1823
175.5369
175.6224
175.9893
176.3022
176.4805
176.6737
176.7054
176.8300
176.8633
176.9504
177.3265
177.9782
178.1946
178.2783
178.4134
179.1109
179.3019
179.5088
179.6354
179.8374
180.0204
180.1926
180.8865
181.0956
181.1728
181.3901
182.1486
182.1533
182.1891
182.2274
182.2430
182.2925
182.3568
182.5600
182.7587
182.9255
182.9837
183.0041
183.3263
183.7777
183.9937
184.0437
184.7857
184.8223
185.0369
185.0393
185.6426
185.7453
185.7781
185.9121
186.7474
186.7632
186.7682
186.8401
186.9179
187.5587
187.5852
188.5134
188.8806
190.0822
190.1927
190.4091
190.5032
190.6519
190.8635
190.9538
190.9626
191.3271
191.4900
191.8749
192.4971
192.5275
192.5485
192.8386
192.9822
193.0183
193.6394
193.7821
193.8969
194.2593
194.2702
194.5579
194.6126
194.9362
195.1770
195.2840
195.7476
196.0578
196.7339
197.0548
197.5858
197.6523
197.8839
197.9116
198.1987
199.3473
199.4658
199.6092
200.6653
200.9748
201.1262
201.7291
201.7922
201.9744
202.3430
202.6676
202.7905
203.0098
203.8195
203.8861
203.9068
204.2324
204.8271
204.8342
205.2099
206.0516
206.0574
206.0633
206.5035
206.6079
206.6164
206.9482
207.8312
207.9196
207.9422
208.1037
208.5163
209.4355
209.7886
210.0149
210.7279
211.2454
211.8804
211.8974
212.0544
212.1124
212.1426
212.2341
212.9098
212.9127
213.0058
213.0666
213.2059
213.8383
214.3329
214.8072
214.8165
215.4106
215.8428
216.3784
217.2138
217.3224
217.4386
217.6466
217.6899
217.7697
217.9195
218.0865
218.4545
218.8832
219.0367
219.7289
220.1721
220.5071
220.9006
221.1979
221.3382
221.4340
221.6644
223.5227
223.5880
223.6868
224.9248
226.7723
227.0589
228.1029
228.3299
228.6604
228.6646
228.7805
229.2647
229.9701
230.2114
230.3423
230.5018
231.0580
231.4150
231.7142
233.0779
233.6722
233.7608
234.4013
234.4890
234.6093
235.0901
235.5990
235.6641
235.8083
235.9607
235.9943
236.0449
236.4660
237.0593
237.1304
237.1936
237.4253
237.4369
237.5795
237.5961
237.7261
237.8632
238.1030
238.1342
238.4633
238.4862
239.1265
239.3758
239.7844
239.8520
239.9042
239.9151
240.0370
240.6535
241.1640
241.9252
242.0479
242.0702
242.5654
242.6967
242.7344
243.0803
243.4546
243.6883
244.2301
244.2430
244.2945
244.3803
244.6885
244.7386
245.5269
245.5905
245.7890
245.9629
246.0760
246.3047
246.5382
246.8747
246.9743
247.2575
248.1284
248.2883
248.3253
249.2430
249.4948
249.5318
249.7427
249.8674
250.0146
250.1101
250.7568
250.8768
250.9226
251.1048
251.3029
251.5517
251.9271
251.9854
252.1326
252.5495
253.2789
253.4294
253.9118
254.1002
254.5921
254.8112
254.9634
255.1089
255.1811
255.1827
255.2848
255.2914
255.5779
256.1143
256.3929
256.5200
256.5428
256.7589
256.8459
256.9657
257.1830
257.2893
257.6981
257.6999
257.8072
257.9139
258.0351
258.2696
258.2726
258.6586
258.7779
258.8079
258.8572
259.0980
259.1091
259.7683
260.1726
260.4373
260.4465
260.5834
260.8500
260.8778
261.0019
261.0247
261.0546
261.5072
261.5815
262.6464
263.0372
263.4094
263.4436
263.8867
264.0496
264.0774
264.2826
264.4303
264.6038
265.5772
265.8166
266.3141
266.6321
266.8894
266.8922
266.9241
267.2698
267.5281
267.7332
268.5017
268.6284
268.7326
268.7925
268.8234
268.9684
269.9113
270.1094
270.1275
270.1880
270.4611
270.9966
271.2670
271.3769
272.3464
272.4128
272.6047
272.8662
273.3130
273.7714
274.3088
275.2406
276.0983
276.1528
276.2585
276.3740
277.0602
277.6399
277.7292
277.7733
277.8408
278.2445
278.2717
278.3058
278.3857
278.8442
279.4477
279.9682
280.3477
280.5403
280.7131
280.7845
281.3142
281.3226
281.5687
281.7764
282.0560
282.1424
282.7206
283.1403
283.5567
283.6438
283.7064
283.8386
284.3207
284.4606
284.7441
284.8894
285.0281
285.0404
285.1562
285.6748
285.7810
286.2026
286.2377
286.4553
286.6735
287.2716
287.3837
287.9179
288.0651
288.1661
288.1910
288.2613
288.2642
288.4114
289.1876
289.3198
289.5430
289.6215
289.6485
290.6648
291.3305
291.6406
292.1197
292.1646
292.1759
292.6663
292.7070
292.9702
293.3178
293.3265
293.5521
293.7660
293.9247
294.4102
294.5486
294.6691
294.7690
295.0672
295.1449
295.7660
295.8594
295.9094
295.9933
296.0041
296.1385
296.9154
297.0012
297.0169
297.0430
297.0830
297.4055
297.5864
297.6662
297.7768
297.8253
297.9023
298.1830
298.3425
298.6687
298.8487
299.6577
299.9488
300.5072
300.5090
300.7364
300.9211
301.0112
301.1653
301.3580
301.4949
302.3905
302.8334
302.9068
302.9595
303.3420
303.5594
303.8085
303.9492
303.9839
304.0240
304.1081
304.1752
304.1913
304.3313
304.7600
304.7904
304.8157
305.1122
305.4771
305.9798
306.6645
306.8541
307.3494
307.5937
307.6084
307.6521
307.8315
307.8611
307.9223
308.1734
308.1886
308.2191
308.6288
308.8874
308.8968
309.2200
309.5378
310.1907
310.4423
310.6242
310.7836
311.1172
311.1616
311.1915
311.5938
311.9474
312.1219
312.3000
312.3148
312.3417
312.5950
312.8806
313.7422
314.2002
314.3582
314.3820
314.4941
314.8014
315.6922
315.7575
316.0271
316.0359
316.1870
317.2272
317.2834
317.4343
318.0970
318.4401
318.5716
318.7705
318.8837
318.9484
318.9604
318.9827
319.0013
319.4307
319.5588
319.8010
319.9536
320.2005
320.6407
321.3305
321.8458
322.1088
322.3028
322.5367
323.0680
323.3026
323.6702
324.1583
324.5636
326.0136
326.0855
326.2943
326.4702
326.8558
327.4093
328.4435
328.5009
329.2604
329.6043
329.8908
330.1266
331.1336
331.5422
332.2417
333.0213
333.7828
333.8077
335.2494
335.2620
335.8498
336.1069
336.3974
336.4457
336.7229
337.3697
337.4301
338.7345
338.9292
338.9475
338.9930
339.8004
339.8654
340.1987
340.2186
341.2137
341.2418
341.3081
341.5155
342.2338
342.7089
343.3192
343.3514
345.0284
345.6989
345.8612
347.2533
347.3563
347.3693
348.0746
348.2524
348.4395
349.4363
349.6909
350.1369
351.5818
351.7999
351.9737
351.9805
352.7047
353.0702
353.4739
353.7960
354.3743
355.5693
355.8520
356.4770
356.8936
356.9489
357.0196
357.0247
357.1135
357.2193
357.2936
357.5549
357.7320
357.8848
358.1905
358.3793
359.2253
359.2810
359.7495
359.7649
359.9530
360.2773
360.8078
361.1799
362.4217
362.7820
362.7896
363.3645
365.9094
367.1814
367.8820
368.0035
368.1486
368.7218
368.7410
369.1430
369.2143
369.5776
369.8682
371.7284
371.8096
374.0031
374.8884
375.7757
376.0870
377.2762
377.4170
377.7512
377.9132
377.9752
378.0412
378.7395
380.1352
381.3862
381.4280
381.5478
382.8449
384.5730
385.9101
388.1039
388.1680
388.6392
389.5519
389.7076
390.1733
390.2777
391.2159
392.5255
393.4817
394.9266
397.2053
397.2652
397.7760
398.9157
399.4515
400.2937
400.4500
400.9590
401.6563
401.7964
402.1270
402.9949
403.8180
404.0094
406.0895
406.4624
406.7003
408.3776
411.0299
411.4002
411.6589
412.6247
414.3444
414.7497
414.9842
415.8387
415.9897
416.2599
417.3717
418.0744
419.4080
419.4238
419.8450
420.1574
421.0904
422.1985
422.2855
422.7011
423.8275
423.8867
423.9472
424.3762
424.8145
425.0581
427.2172
427.3153
427.4566
427.4608
427.7010
428.3668
428.4001
428.4818
428.9710
429.1619
429.2705
429.4322
429.5093
429.9420
430.9695
431.2089
431.7369
431.8005
431.9425
432.3243
432.8660
433.5617
433.5720
433.6325
433.6679
433.7448
434.6201
434.6533
435.7648
436.5188
437.0657
440.1861
441.8759
444.1514
444.6457
446.8728
447.4056
449.4772
450.0871
451.2859
453.1368
454.1117
454.1502
454.5805
455.1891
458.6404
460.0934
460.5599
469.2671
470.4094
470.9609
477.1273
479.3455
481.7742
483.3042
483.6639
486.0319
487.7507
489.8395
492.0568
494.4216
498.3935
498.8154
507.1240
509.5817
510.9922
513.6428
514.1803
515.1617
519.6463
523.8627
531.2671
555.9672
557.2992
59.0001
597.2402
60.2239
615.1398
616.3750
63.4745
64.5149
64.9674
66.6121
72.5723
73.2949
76.5552
80.1018
80.8656
812.6588
819.6281
82.4777
82.8599
84.9876
85.8176
85.8648
86.0716
86.3246
86.9201
87.4338
87.4576
87.6817
89.2920
89.9543
89.9566
89.9583
90.6876
90.7476
91.6466
94.0511
97.4372
97.4885
97.6602
53968
53968
53968
53968
1
2
53968
1
2
53968
11
241
102.434
62.839
53968
59
1113.53
269.423
106.776
53968
44.489
1431.042
281.354
116.464
1383654
1383654
101
1818
469.197
253.907
diaryexp_q2
diaryexp_q2
diaryexp_q2
diaryexp_q2
diaryexp_q2
1383654
0101
0102
0103
0104
0105
0106
0107
0108
0109
0110
0111
0112
0201
0202
0203
0204
0205
0206
0207
0208
0209
0210
0211
0212
0301
0302
0303
0304
0305
0306
0307
0308
0309
0310
0311
0312
0401
0402
0403
0404
0405
0406
0407
0408
0409
0410
0411
0412
0501
0502
0503
0504
0505
0506
0507
0508
0509
0510
0511
0512
0601
0602
0603
0604
0605
0606
0607
0608
0609
0610
0611
0612
0701
0702
0703
0704
0705
0706
0707
0708
0709
0710
0711
0712
0801
0802
0803
0804
0805
0806
0807
0808
0809
0810
0811
0812
0901
0902
0903
0904
0905
0906
0907
0908
0909
0910
0911
0912
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2901
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
3001
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3101
3103
3105
3107
3108
3110
3112
Unit of measure
Unit of measure
Unit of measure
Unit of measure
Unit of measure
1383654
1
2
3
4
5
6
7
8
9
10
11
diaryexp_q6
diaryexp_q6
diaryexp_q6
diaryexp_q6
diaryexp_q6
1332826
50828
612000
47.288
1079.991
diaryexp_q7
diaryexp_q7
diaryexp_q7
diaryexp_q7
diaryexp_q7
1383651
3
50
320000000
11919.632
495124.393
diaryexp_q8
diaryexp_q8
diaryexp_q8
diaryexp_q8
diaryexp_q8
1383654
1
2
3
4
5
diaryexp_q9
diaryexp_q9
diaryexp_q9
diaryexp_q9
diaryexp_q9
1383654
1
2
3
4
5
diaryexp_q10
diaryexp_q10
diaryexp_q10
diaryexp_q10
diaryexp_q10
1383654
1
2
3
4
5
6
7
8
9
10
11
12
diaryexp_q11
diaryexp_q11
diaryexp_q11
diaryexp_q11
diaryexp_q11
1383653
1
1010
9998
2371.747
1886.453
389227
175
391898
196111.077
113078.877
389227
389227
101
1215
344.661
187.02
diaryinc_q2
diaryinc_q2
diaryinc_q2
diaryinc_q2
diaryinc_q2
389227
0101
0102
0103
0104
0105
0106
0107
0108
0109
0110
0111
0112
0201
0202
0203
0204
0205
0206
0207
0208
0209
0210
0211
0212
0301
0302
0303
0304
0305
0306
0307
0308
0309
0310
0311
0312
0401
0402
0403
0404
0405
0406
0407
0408
0409
0410
0411
0412
0501
0502
0503
0504
0505
0506
0507
0508
0509
0510
0511
0512
0601
0602
0603
0604
0605
0606
0607
0608
0609
0610
0611
0612
0701
0702
0703
0704
0705
0706
0707
0708
0709
0710
0711
0712
0801
0802
0803
0804
0805
0806
0807
0808
0809
0810
0811
0812
0901
0902
0903
0904
0905
0906
0907
0908
0909
0910
0911
0912
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2701
2702
2703
2704
2705
2706
2707
2708
2709
2710
2711
2712
2801
2802
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2901
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
3001
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3101
3103
3105
3107
3108
3110
3112
diaryinc_q5
diaryinc_q5
diaryinc_q5
diaryinc_q5
diaryinc_q5
389222
5
1
11
1
2
3
4
5
6
7
8
9
10
11
Sysmiss
diaryinc_q6
diaryinc_q6
diaryinc_q6
diaryinc_q6
diaryinc_q6
312874
76353
2400000
29.766
5019.824
diaryinc_q7
diaryinc_q7
diaryinc_q7
diaryinc_q7
diaryinc_q7
389180
47
50
51120000
50088.616
508745.097
diaryinc_q8
diaryinc_q8
diaryinc_q8
diaryinc_q8
diaryinc_q8
389220
7
1
2
3
Sysmiss
diaryinc_q9
diaryinc_q9
diaryinc_q9
diaryinc_q9
diaryinc_q9
389220
7
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
Sysmiss
diaryinc_q10
diaryinc_q10
diaryinc_q10
diaryinc_q10
diaryinc_q10
389219
0101
0201
0202
0203
0204
0205
0206
0207
0208
0301
0302
0303
0304
0401
0402
0501
0502
0503
0504
0505
0506
0507
0508
0509
0510
0511
0512
0513
0514
0599
0601
0602
0604
0701
0801
0802
0901
0905
0999
1001
1002
1003
1004
1005
1006
1007
1008
1099
1199
1299
entryuser
entryuser
entryuser
entryuser
entryuser
389227
KA
KIMKRY
LAKENA
MADARY
MOROKAT
NAREN
PISEY
PUNLOK
RIYA
ROTH
SOKPISEY
SOPHEA
TEY
TOLA
Tola
VANNA
VOTEY
Zada
ka
kimkry
lakena
madary
mony
morokat
naren
phana
pisey
punlok
riya
roth
sokpisey
sophea
tey
thanak
tola
vanna
votey
zada
changedate
changedate
changedate
changedate
changedate
389227
1708250400000
1738151220000
1723815810406.39
8643074541.006