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Literacy Status in Nepal (Literacy rate by age group 15 -24)

Submitted to: UNESCO Kathmandu

By:

Literacy Mapping Study Team

KAT/2014/PI/H/5

2013 Literacy Mapping Study Team Team members 1. Sugam Bajracharya, Team Leader

2. Ashim Bajracharya, Team Member

3. Sameer Khadka, Team Assistant

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Table of contents

Acknowledgement ......................................................................................................... iii

List of figures ................................................................................................................. iv

List of tables................................................................................................................... iv

Acronyms ........................................................................................................................ v

1. Literacy Status in Nepal ................................................................................... 1

2. Methodology ..................................................................................................... 2

2.1. Prioritize ....................................................................................................................... 2

2.2. Target ........................................................................................................................... 6

2.3. Information needed ..................................................................................................... 8

2.4. Limitation ..................................................................................................................... 8

3. GIS Map Presentation and Interpretation ....................................................... 9

3.1. National Level .............................................................................................................. 9

3.1.1. National Literacy map by Age 15 – 24 .................................................................................................. 9

3.1.2. National illiterates map by Age 15 – 24 .............................................................................................. 11

3.1.3. Female literacy map by age 15 - 24 ..................................................................................................... 13

3.1.4. Female illiterate map by age 15 – 24 ................................................................................................... 15

3.1.5. Regional level literacy map by age 15 - 24 .......................................................................................... 17

3.1.6. Regional level illiterate map by age 15 - 24 ........................................................................................ 19

3.1.7. Regional level Female literacy map by age 15 - 24 ............................................................................. 21

3.1.8. Regional level Female illiterate map by age 15 - 24 ............................................................................ 23

3.2. District level ............................................................................................................... 25

3.2.1. Dolkha ................................................................................................................................................. 25

3.2.2. Rasuwa ................................................................................................................................................ 38

3.2.3. Kailali .................................................................................................................................................. 50

4. Major Findings ................................................................................................ 63

4.1. Total: Age group 15 - 24 ........................................................................................... 63

4.1.1. Total Literacy rate................................................................................................................................ 63

4.1.2. Total Illiterate number ......................................................................................................................... 63

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4.2. Female: Age group 15 - 24 ....................................................................................... 64

4.2.1. Female Literacy rate ............................................................................................................................ 64

4.2.2. Female illiterate number ...................................................................................................................... 65

4.2.3. Sum up ................................................................................................................................................. 66

5. Major Implications .......................................................................................... 67

5.1. Total: Age group 15 - 24 ............................................................................................ 67

5.1.1. Total Literacy rate................................................................................................................................ 67

5.1.2. Total Illiterate number ......................................................................................................................... 67

5.2. Female: Age group 15 – 24 ........................................................................................ 67

5.2.1. Female Literacy rate ............................................................................................................................ 67

5.2.2. Female illiterate number ...................................................................................................................... 68

6. Annexes .......................................................................................................... 69

Annexes 1: Literacy rate status by age group 15 - 24 ........................................................... 69

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Acknowledgement

We would like to express our gratitude and appreciation to UNESCO Kathmandu for trusting us for such an important assignment. We would also like to express our gratitude and appreciation to NFEC officials, for their commendable input towards the preparation of the report.

I would also like to extend special thanks for CBS for providing the latest 2011 literacy data by age group and gender. A special thanks to Mr. Babu Ram Poudel, Project Director, NFEC‘s for supporting in NFEC’s issues and agenda for preparation of the report. I would also like to extend my special thanks to Mr. Tap Raj Pant, Education Section Chief, UNESCO Kathmandu and UNESCO officials for heartily supporting us during the preparation of the report.

Sugam Bajracharya

Team Leader

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List of figures

Figure 1: Literacy mapping using GIS ..................................... Error! Bookmark not defined.

List of tables

Table 1: Score pattern for literacy rate status ............................................................................. 3

Table 2: Score pattern for preparing illiterate map by age 5+ and age 15+ ............................... 3

Table 3: Present the score pattern for preparing illiterate map by age 5 – 14 and age 15 – 24 .. 4

Table 4: District level Score pattern for age group 5+ and 15+ ................................................. 4

Table 5: Example for VDCs and illiterates identification by priority score ............................... 6

Table 6: Example for Targeting villages and Illiterates by Priority ........................................... 7

Table 7: Districts are selected for district level identifying illiterates by age group 5+ ............. 7

Table 8: VDC’s and illiterates’ identification by priority score in Dolkha District ................. 29

Table 9:Targeting villages and Illiterates by Priority inthe Dolkha district ............................. 30

Table 10: Villages and female illiterates’ identification by priority score in Dolkha District . 35

Table 11: Targeting villages and female Illiterates by Priority in Dolkha district ................... 36

Table 12: VDC’s and illiterates’ identification by priority score in Rasuwa District .............. 42

Table 13: Targeting villages and Illiterates by Priority in Rasuwa district .............................. 43

Table 14: Villages’ and female illiterates’ identification by priority score in Rasuwa District48

Table 15: Targeting villages and female Illiterates by Priority in Rasuwa district .................. 48

Table 16: VDC’s and illiterates’ identification by priority score in Kailali District ................ 54

Table 17: Targeting villages and Illiterates by Priority in Kailali district ................................ 55

Table 18: Villages and female illiterates’ identification by priority score in Kailali District .. 60

Table 19: Targeting villages and female illiterates by Priority in Kailali district .................... 61

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Acronyms

GIS Geographic Information System CBS Central Bureau of Statistics

LITERACY STATUS IN NEPAL

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1. Literacy Status in Nepal

The literacy rate status by age group 15 – 24 is analyzed in 84.7 percent for total in the country where as it is analyzed 80.2 percent for female and 89.9 percent for male in the country.

METHODOLOGY

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2. Methodology

The overall methodology has been already described in Literacy status in Nepal by age group 5+ report. The core indicators prepared score patterns are known as map preparation matrix for national, regional and districts. These types of matrixes are presented for different age group and even for literate and illiterate population in the methodology part as given below;

2.1. Prioritize

First of all Literacy mapping study is based upon the different core EFA indicators. These different EFA indicators are considered as major factor for strengthening the existing Planning strategies in NFEC. Here literacy rate by age 15 – 24 indictor is presented for preparing the Literacy maps and that are given as below;

Literacy rate by age 15 – 24 Literacy rate by male age 15 – 24 Literacy rate by female age 15 – 24

Statistically valid Literates and illiterates score patterns are developed for preparing the map in the GIS software. The main process for preparing GIS map is followed by well structured score pattern which should be statistically valid.

Literacy rate are focused on the different score pattern number as given in the Table1. The literacy rate data is identified in huge variation. Statistical open ended class is chosen for such huge variation. The class interval was set up in 5 scales as considering the quintile method. Only Open ended class will addressed the huge variation in below and above cases. Score 1 implies that it have low degree literate people. Score 2 implies that it have moderately low degree literate people. Score 3 implies that it have medium degree literate people. Score 4 implies that it have moderately high degree literate people and ultimately score 5 implies that it have high degree literate people in the main sample population. Table 1 provides the detail indication of legend direction for allotting the different colour in 5 measuring score.

Table 1 Score pattern is developed for literacy mapping by age group and gender.

METHODOLOGY

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Table 1: Score pattern for literacy rate status

Literacy Rate in percent (%)

Dot Colour Score Remarks

Below 50 Red 1 Low Degree Literate People

50 – 60 Orange 2 Moderate Low Degree Literate People

61 – 70 Yellow 3 Medium degree Literate People

71 – 80 Light green 4 Moderately high Degree Literate People

Above 80 Dark green 5 High Degree Literate People

Illiterates’ scoring pattern cases are provided in numbers for easy identification of

illiterates in the VDCs. Illiterates score pattern for preparing illiterate map is varied by age group, national level map and district level map.

Table 2 shows the score pattern which is used for preparing illiterate map by age 5+ and age 15+ for national level and regional level map due to similar type of population parameter exists in that group.

Table 2: Score pattern for preparing illiterate map by age 5+ and age 15+

Illiterates Numbers Dot Colour Score Remarks

Up to 1000 Dark green 5 Low Degree illiterate number

1001 - 2000 Light green 4 Moderate Low Degree illiterate number

2001 - 3000 Yellow 3 Medium degree illiterate People

3001 - 4000 Orange 2 Moderately high Degree illiterate People

Above 4000 Red 1 High Degree illiterate People

Illiterates’ numbers are found huge and identified in high variation in all age groups.

So that open ended class is also applied in illiterates’ cases.

Table 3 has presented the specific illiterate score pattern for preparing the illiterate mapping by age 5 – 14 and 15 – 24. It is due to low ratio of population parameter exists in that age group in National level, regional, district level and even up to VDC level. But rest of the dot colour, score and remarks are considered as same.

METHODOLOGY

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Table 3: Present the score pattern for preparing illiterate map by age 5 – 14 and age 15 – 24

Illiterates Numbers Dot Colour

Score Remarks

0 – 100 Dark green 5 Low Degree Literate People 101 – 200 Light green 4 Moderate Low Degree Literate

People 201 – 300 Yellow 3 Medium degree Literate People 301 – 400 Orange 2 Moderately high Degree Literate

People Above 400 Red 1 High Degree Literate People

Small portion of illiterates numbers are identified in by age group 5 – 14 and age group 15 – 24. It is important to recall the score pattern type that it is very much similar to quintile method. The scoring pattern is specifically in five scales. The process for preparing scoring pattern produced by subtracting maximum and minimum illiterates’ numbers within the villages and the remained value is divided by 5 so that the class interval can be estimated for anticipated 5 scales scoring for mapping procedure.

The score pattern may be changed in districts as per population pattern exists in the districts. It was due to presence of more low units of illiterates’ population parameter

in many mountain and hill regions in compare to high units of illiterate population in most of the terai and hill region in the country. It is very much necessary to adjust all minimum and maximum portion of illiterates’ population parameter by villages for targeting illiterates for villages’ identification steps. One should understand about the changes in score pattern for illiterates’ numbers by national level, regional level and

more specifically in district level.

The given Table.4 shows the different score pattern for age group 5+ and 15+ for preparing illiterate map in districts. The score pattern is based upon VDC level population parameter. It will adjust all variation within the district.

Table 4: District level Score pattern for age group 5+ and 15+ S.N Score

Pattern Districts Selected District

Number

1 Below 500 Darchula, Achham, Humla, Dolpa, Palpa, Gulmi, Parbat, Myagdi, Mustang, Manang, Syangja, Tanahu, Lamjung, Gorkha, Rasuwa, Lalitpur, Kavrepalanchok, Khotang, Okhaladhunga, Solukhumbu, Bhojpur, Terhathum, Dhankuta, Taplejung , Dolkha

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500 - 1000

1001 - 1500

1501 - 2000

Above

METHODOLOGY

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2000

2 500 - 1000 Baitadi , Dadeldhura, Doti, Bajhang, Mugu, Kalikot, Jumla, Jajarkot,Dailiekha, Surkhet, Salyan, Rukum,Rolpa, Pyuthan, Arghakhachi,Banglung,Sindhupalanchok, , Ramechhap, Sankhuwasabha, Ilam, Panchthar

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1001 - 1500

1501 - 2000

2001 - 2500

Above 2500

3 Up to 1000 Kaski , Nuwakot, Kathmandu, Sindhuli, Udaypur, 5

1001 - 2000

2001 - 3000

3001 - 4000

Above 4000

4 1001 - 2000 Kanchanpur, Kailali, Bajura, Bardiya,Banke, Dang, , Rupandehi, Nawalparasi,Chitwan, Parsa, Bara, Rautahat,Makawanpur,Dhading, haktapur,Sarlahi,Mahottari, Dhanusa, Sirha, Saptari,Sunsari, Morang, Jhapa, Kapilvastu

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2001 - 3000

3001 - 4000

4001 - 5000

Above 5000

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Some sorts of examples are highlighted related to district level illiterates score patterns. It is understood that the given examples will be helpful for grabbing all small and huge portion of illiterate from all different geographical distribution of the country. Such as we can used the national level score pattern for targeting illiterates in Kathmandu district because it has similar type of population parameter exists. But the national level score pattern for targeting illiterates may not be suitable for those villages for examples Manang and Syangja due to relatively lower population parameter exists in those districts. So the score pattern for targeting illiterates should be different for each districts depending upon their population parameter exists. It implies that the previous score pattern (Table 3 and Table 4) for national level map will give surficial glance of the location of illiterates across the country but the district level revised score pattern will helps to focus the comprehensive picture of illiterates within the districts. That will help any planner for complete direction for targeting every component of illiterates by minimum to maximum units in each and every village.

METHODOLOGY

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2.2. Target

Two methods of identifying villages and illiterates within the district are focused for further improvement of literacy action plan.

The first method followed by the preparation of priority score matrix and targeting VDCs and illiterates is explained below;

To prioritize the villages on the bases upon their low and high population variation of illiterates number, one should focus on score pattern by their literacy rates and number of illiterates under the columns ‘Score 1’ and ‘Score 2’ in Template 1 on the example

Table 5. Table 5: Example for VDCs and illiterates identification by priority score

S.N VDC Adult literacy rate (%)

Score 1 No of adult illiterates

Score 2 Priority Score

5 E 49.8 1 1027 1 2

7 G 43.1 1 368 2 3 2 B 48.9 1 262 3 4 4 D 46.9 1 196 4 5

3 C 65.2 3 249 3 6 6 F 65.8 3 273 3 6 1 A 71.9 4 279 3 7

8 H 75.0 4 109 4 8 10 J 76.9 4 62 5 9 9 I 94.8 5 27 5 10

By adding up the corresponding Score 1 and Score 2 for each district, a Priority Score can be obtained as shown in the last column of example Table 6. The value of the priority scores can vary from 2 to 10, with highest priority to be given to villages with any lowest scores outcomes in the priority scoring.

The priority score below 7 is considered alarming and need extra effort for reduction of illiterates’ number in the respective villages. The priority score above 7 indicated that there are low illiterates numbers remained in the respective villages and they have no problems of evolution of illiterates. Even little effort is anticipated sufficient for them to maintain the current status. It is believed that villages belonging to priority score above 7 might be achieved total reduction of their illiterates’ number of people.

The second method followed by the preparation of priority score matrix and targeting villages and illiterates is explained below;

METHODOLOGY

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Table 6: Example for Targeting villages and Illiterates by Priority

Priority ranking

Priority Score

No. of VDCs

No. of target

illiterates

VDC names

1 2 1 1027 E 2 3 1 368 G 3 4 1 262 B 4 5 1 196 D 5 6 2 522 C,F 6 7 1 279 A 7 8 1 109 H 8 9 1 62 J 9 10 1 27 I Total 10

Table 7 helps us to target the alarming VDCs and major concentration of illiterates within the villages. In Table 7, we can be confirmed that villages E, G, B, and D are found more alarming and these villages should be kept in higher priority for rapid reduction of illiterates. Villages C, F and H are also seen in alarming regarding the illiterates but literacy rate status is seen high in comparison to the illiterates. Two villages C and F belong to priority score 6. It gives us the villages’ status within this priority score.

The data analysis presentation steps which are very much indicative plan for identifying illiterates and their respective villages for implementing step 3 Strategize. For such data analysis presentation for steps 3, 3 districts are selected by age group 5+, 15+ and 15 – 24 and gender. These selected districts are focused on high illiterate numbers of populations in their villages. The selected districts are given in table 7below;

Table 7: Districts are selected for district level identifying illiterates by age group 5+

S.N Districts Literate Number

Illiterate Number

1 Dolkha 107,238( 62.8) 63,582

2 Rasuwa 192,337 (62.9 ) 113,648

3 Kailali 465,176 ( 66.3) 236,255

VDC level analysis will be done for Dolkha, Rasuwa and Kailai districts by age group 5+, 15+, 15 – 24 and gender.

METHODOLOGY

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2.3. Information needed

For literacy mapping, the following information is required:

The spatial distribution of illiterates and literacy rates by geographical areas, administrative levels, gender, age-group.

Illiterates showing overlays of terrain/topography, roads/waterways/paths, schools/CLCs, health centers, agricultural centers, places of religious worship, community facilities, and other relevant information.

2.4. Limitation

The Literacy mapping study has some limitation observed during the study period. The main limitation issues are given below;

Literacy mapping study is based upon VDC level information. Only two Villages’ level information’s regarding illiterates and CLC’s are possible to present in the single layer of GIS map.

The literacy mapping study is limited in step 3 where as step 4 are not in the scope of work in the study.

GIS MAP PRESENTATION AND INTERPRETATION

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3. GIS Map Presentation and Interpretation

3.1. National Level

3.1.1. National Literacy map by Age 15 – 24

Map 1 shows the literacy rate status by age 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the literacy map by age 15 – 24 as given below;

Dark green dots are seen densely in most of the part of the country.

There is little variation of dots identified in most of the terai region, far western development and the mid western development region. And these regions are considered behind in terms of literacy rate by age group 15 -24.

The literacy rate by age group 15 – 24 can be considered more strong than literacy rate 5+ and 15 +.

National level literacy rate by age group 15 – 24 is found as 84.7 percent (4,481,559 out of the total 5,290,051 population) in that age group.


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3.1.2. National illiterates map by Age 15 – 24

Map 2 shows the national illiterates’ number by age 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the national illiterates’ number by age 15 – 24 as given below;

More dark green dots are found in the hilly region in the country.

Kathmandu valley seems more dominated by dark green dots but red dots are found in main municipalities.

There are varied dots are found in mid western development and far western development region. Overall performance in that region indicated steady

More red dots are found in terai region in the country. 808,492 illiterates out of the total 5,290,051 population are still remained in the

country.


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3.1.3. Female literacy map by age 15 - 24

Map 3 shows the female literacy rate by age 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the literacy map by age 15 – 24 as given below;

More dark green dots are identified in hilly and mountain region of the eastern development region, central development and the western development region.

Score pattern seem varied in mid western development region and far western development region. More red dots, light green and yellow dots are seen hilly region of these two development region.

Terai region is seemed lagging behind in terms of female literacy especially in the central terai region.

Kathmandu valley female literacy status is seen well improved. Female literacy rate is found 80.2 percent (2,246,814 literate out of the total

2,802,879 population by age group 15 – 24) in the country


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3.1.4. Female illiterate map by age 15 – 24

Map 4 shows the national female illiterates’ number by age 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the national female illiterates’ number by age 15 – 24 as given below;

Dark green dots are seen in most part of the eastern development, central development and western development regionsof the country.

Red dots are seen mostly in the terai even the volume of the red dots seem negligible.

Terai region is seemed steady regarding the female illiterate by age group 15 -24.

There are more light green dots are found in mid western development region and far western development region of the country.

Kathmandu valley female illiterate number is seen minimum where as the situation is revered in municipalities with high female illiterates.

CLC’s activities in the country are seen moderately normal. Female illiterates are found 18.1 percent (506,065 female illiterates out of the total

2,802,879 population) by age group 15 – 24 in the country.


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3.1.5. Regional level literacy map by age 15 - 24

Central development region is selected for the presentation of literacy map by age group 15 – 24. The map 5 is based upon given 5 scale legend. The following observations are drawn from the central development region literacy map by age 5+ as given below;

More dark green dots are found in the hilly region and upper mountain region in the central development region.

Kathmandu valley is seen high improved regarding the literacy rate.

More red dots are found in the central terai region.

Score pattern is also seen varied in the central terai region. Red, light green, yellow and orange dots are found in central terai region.

Terai region is considered very weak regarding the literacy rate in the central development region.

There is 81.2 percent (1,578,192 literate populations by age group 15 – 24 out of the total 1,941,542 population) literacy rate identified in the central development region.


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3.1.6. Regional level illiterate map by age 15 - 24

Central development region is selected for presentation of regional level illiterate maps by age 15 – 24.Map 6 shows the central development region illiterate number by age 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the central development region illiterate number by age 15 – 24 as given below;

More light green and dark green dots are found in the central and northern part of the central development region.

More red, orange and yellow dots are found in the terai region.

Kathmandu valley is seen with more dark green but there are red dot identified in the municipalities.

CLC’s effectiveness is seen high in the central and northern part of the central

development region where as it effectiveness is seen very low in the southern part (terai region.).

There are 363,350 illiterates out of the 970,424 population found in the central development region.


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3.1.7. Regional level Female literacy map by age 15 - 24

Central development region is selected for the presentation of female literacy map by age group 15 – 24. The map 7 is based upon given 5 scale legend. The following observations are drawn from the central development region female literacy map by age 5+ as given below;

More dark green dots are identified in central and northern part of the central development region.

Dark green dots are also found in the Kathmandu valley.

Some red dots are also seen in the northern part of the central development region.

Terai region is lagging behind in terms of the red dots.

Score pattern indicated that the female literate numbers are varied by the geographical distribution.

Female literacy rate is defined as 76.1 percent (738,457 female literate out of the total 970,424 population) in the central development region by age group 15 – 24.


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3.1.8. Regional level Female illiterate map by age 15 - 24

Central development region is selected for presentation of regional level female illiterate map by age 15 -24. The map 8 is based upon given 5 scale legend. The following observations are drawn from the central development region illiterate number by age 15 – 24 as given below;

More dark green and light green dots are found in central and northern part of the central development region.

The effectiveness of CLC is seen steady in central and northern part of the central development region.

Dark green dots are also seen in the Kathmandu valley but municipalities’ situation

is not preferred to dark green. It may be due to high population parameter exists in the same age group 15 – 24.

Central terai region is seen mixed of all score pattern. It indicated that there is huge variation in females illiterates’ number remained in the central terai region.

The effectiveness of CLC is seen passive in the central terai region. Female illiterate rate is defined as 23.9 percent (231,967 female illiterate out of the

total 970,424 population).


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3.2. District level

3.2.1. Dolkha

3.2.1.1. Dolkha District total literacy map by age 15 – 24

Map 9 shows the Dolkha District total literacy map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Dolkha District total literacy map 15 – 24 given below;

Dark green dots are seen in all most all VDCs in the Dolkha District.

Fewer light green dots are also seen in the Dolkha District.

No Red dots are found in the Dolkha District total literacy map by age group 15 – 24.

There are 91.0 percent(32,530 out of the total 35,744 population ) recorded in

the Dolkha District by age group 15 – 24.


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3.2.1.2. Dolkha District total illiterate map by age 15 - 24

Map 10 shows the Dolkha District total illiterate number map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Dolkha District illiterate number map 15 – 24 given below;

More dark green are found in the Dolkha district.

Bhimeswor municipality is seen lagging behind in terms of illiterate numbers by age group 15 – 24.

CLC’s effectiveness is seen minimal in the Dolkha district. There are 3214 illiterates out of the 35,744 total populations identified in

Dolkha district by age group 15 – 24.


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3.2.1.3. VDC and illiterates targeting by age group 15 – 24

Literacy status by age group 15 – 24 is analyzed satisfactory in the Dolkha district.

Table 8 shows that very less illiterates by age group 15 – 24 are found in all most all villages in the Dolkha district.51 out of 52 villages ( priority score above 9) are identified highly satisfactory regarding very low illiterates number remained in their respective area. 1 out of 52 villages (priority score above 8) are identified satisfactory regarding the low illiterates numbers in their respective area.

Table 8: VDC’s and illiterates’ identification by priority score in Dolkha District

S.N VDC/MUN Name VDC/MUN Code

Literate Number

Literate Percent

Score 1

Illiterate Number

Score 2

Priority Score

1 Bhimeshwor Municipality 4 4562 95.2 5 230 3 8

2 Marbu 39 190 70.6 4 79 5 9

3 Khopachagu 30 317 77.3 4 93 5 9

4 Lamabagar 33 277 78.9 4 74 5 9

5 Dandakharka 14 639 84.7 5 115 4 9

6 Jhyaku 23 799 85.4 5 137 4 9

7 Sailungeswor 46 648 86.4 5 102 4 9

8 Lapilang 35 873 89.4 5 103 4 9

9 Jiri 24 1463 92.4 5 121 4 9

10 Khare 29 272 81.7 5 61 5 10

11 Bigu 7 232 81.7 5 52 5 10

12 Kalinchowk 27 433 81.9 5 96 5 10

13 Alampu 1 261 84.2 5 49 5 10

14 Orang 43 325 86.2 5 52 5 10

15 Chankhu 10 190 86.4 5 30 5 10

16 Thulopatal 52 595 87.0 5 89 5 10

17 Bhirkot 5 394 87.2 5 58 5 10

18 GauriSankar 18 158 87.3 5 23 5 10

19 Babare 2 567 89.0 5 70 5 10

20 Pawati 44 756 89.0 5 93 5 10

21 GhyangSukathokar 19 679 89.3 5 81 5 10

22 Laduk 31 550 89.7 5 63 5 10

23 Mali 37 508 90.4 5 54 5 10

24 Syama 51 405 90.4 5 43 5 10

25 Jungu 25 626 90.5 5 66 5 10

26 Hawa 20 327 90.6 5 34 5 10

27 Sahare 45 550 90.9 5 55 5 10

28 Lakuridanda 32 681 91.4 5 64 5 10


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29 SuspaKshyamawati 50 597 91.4 5 56 5 10

30 Bhedapu 3 658 91.8 5 59 5 10

31 Bulung 9 359 91.8 5 32 5 10

32 Suri 49 508 91.9 5 45 5 10

33 Jhule 22 352 91.9 5 31 5 10

34 Melung 40 627 91.9 5 55 5 10

35 TamchetDudhpokhari 15 448 92.2 5 38 5 10

36 Chilankha 12 455 92.3 5 38 5 10

37 Lamidanda 34 789 92.4 5 65 5 10

38 Sunkhani 47 847 92.7 5 67 5 10

39 Magapauwa 36 549 93.1 5 41 5 10

40 Katakuti 28 669 93.2 5 49 5 10

41 Fasku 16 739 93.3 5 53 5 10

42 Mirge 41 640 93.4 5 45 5 10

43 Chyama 13 499 93.4 5 35 5 10

44 Gairimudi 17 724 93.5 5 50 5 10

45 Japhe 21 699 93.6 5 48 5 10

46 Namdu 42 874 93.9 5 57 5 10

47 Malu 38 524 94.1 5 33 5 10

48 Bhusafeda 6 343 94.5 5 20 5 10

49 Kabhre 26 852 94.7 5 48 5 10

50 Bocha 8 551 95.3 5 27 5 10

51 Chhetrapa 11 421 95.9 5 18 5 10

52 Sundrawati 48 529 96.9 5 17 5 10

The priority score 8, 9 and 10 indicated that illiterates number in the Dolkha district by age group 15 – 24 are in low pace. This situation over reduction of illiterates in the age group 15 – 24 is considered satisfactory.

Table 9 shows that there are still few illiterates numbers remained in many villages in priority ranking 3rd in compare to priority ranking 1st and 2nd. Planner need to focus priority ranking 3rd for covering most of villages for implementation of sustainable management policy in their up coming literacy action plan.

Table 9:Targeting villages and Illiterates by Priority inthe Dolkha district Priority ranking

Priority Score

No. of VDCs

No. of target illiterates

VDC names VDC Name

1st 8 1 230 BhimeshworMunicipality 2nd 9 8 824 Marbu,Khopachagu,Lamabagar,Dandakh

arka,Jhyaku,Sailungeswor,Lapilang,Jiri


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3rd 10 43 2160 Khare,Bigu,Kalinchowk,Alampu,Orang,Chankhu,Thulopatal,Bhirkot,Gauri Sankar,Babare,Pawati,GhyangSukathokar,Laduk,Mali,Syama,Jungu,Hawa,Sahare,Lakuridanda,SuspaKshyamawati,Bhedapu,Bulung,Suri,Jhule,Melung,TamchetDudhpokhari, Chilankha,Lamidanda,Sunkhani,Magapauwa,Katakuti,Fasku,Mirge,Chyama,Gairimudi,Japhe,Namdu,Malu,Bhusafeda,Kabhre,Bocha,Chhetrapa, Sundrawati

Total 52 3214

Planner also needs to focus priority ranking 1st and 2nd to highlight more illiterates’

ratio according to villages’ status in compare to priority ranking 3rd.

3.3.12 Dolkha District Female literacy map by age 15 - 24

Map 11 shows the Dolkha District Female literacy map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Dolkha District Female literacy map 15 – 24 given below;

More dark green dots are identified in the Dolkha district.

Fewer light green dots are also found in the Dolkha district.

Only two yellow dots are seen in the Marbu and Khopadhaguvillages in the Dolkha district.

The female literacy rate is defined as 87.6 percent (17,468 out of the total 19,937 population) in the Dolkha District.


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3.2.1.4. Dolkha District Female illiterate map by age 15 - 24

Map 12 shows the Dolkha District Female illiterate number map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Dolkha District Female illiterate number map 15 – 24 given below;

All most dark green are found in the Dolkha District illiterate map. The score pattern indicated that there are less female illiterates (below 100) in all most all VDCs.

CLC’s active implementation is seen minimal in Dolkha District as the dark green dots are seen even in those VDCs where there are no facilities of CLC’s.

There are 2469 female illiterates out of the total 19,937 population identified in the Dolkha District.


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3.2.1.5. VDC and Female illiterates targeting by age 15 - 24

Female literacy status by age group 15 – 24 is also analyzed well performed in the country.

Table 10 shows that very less illiterates by age group 15 – 24 are found in all most all villages in Dolkha district. All most all VDCs in Dolkha district have above 7 priority score status. 49 out of 52 villages are identified highly satisfactory (priority score above 9) regarding very low illiterates’ number remained in their respective villages. 3 out of 52 villages are identified satisfactory (priority score above 8) regarding the low illiterates numbers in their respective villages.

Table 10: Villages and female illiterates’ identification by priority score in Dolkha District S.N VDC/MUN Name VDC/

MUN Code

Literate Total

Literate Percent

Score 1

Illiterate Total

Score 1

Priority Score

1 Jhyaku 23 405 78.0 4.0 114 4 8 2 Khopachagu 30 152 67.6 3.0 73 5 8 3 Marbu 39 98 65.3 3.0 52 5 8 4 BhimeshworMunicipality 4 2437 94.1 5.0 154 4 9 5 Dandakharka 14 355 79.6 4.0 91 5 9 6 Thulopatal 52 296 79.8 4.0 75 5 9 7 Kalinchowk 27 203 73.6 4.0 73 5 9 8 Lamabagar 33 123 70.3 4.0 52 5 9 9 Orang 43 143 74.9 4.0 48 5 9

10 Khare 29 117 71.8 4.0 46 5 9 11 Alampu 1 131 76.6 4.0 40 5 9 12 Bigu 7 124 80.0 4.0 31 5 9 13 Chankhu 10 91 79.1 4.0 24 5 9 14 GauriSankar 18 64 75.3 4.0 21 5 9 15 Jiri 24 769 89.8 5.0 87 5 10 16 Sailungeswor 46 364 81.1 5.0 85 5 10 17 Lapilang 35 442 85.5 5.0 75 5 10 18 GhyangSukathokar 19 369 84.4 5.0 68 5 10 19 Pawati 44 445 87.4 5.0 64 5 10 20 Jungu 25 340 86.3 5.0 54 5 10 21 Sahare 45 291 85.1 5.0 51 5 10 22 Babare 2 304 85.9 5.0 50 5 10 23 Bhedapu 3 368 88.2 5.0 49 5 10 24 Sunkhani 47 462 90.6 5.0 48 5 10 25 Bhirkot 5 213 82.2 5.0 46 5 10 26 Laduk 31 272 85.5 5.0 46 5 10 27 Melung 40 351 88.4 5.0 46 5 10 28 Fasku 16 435 90.4 5.0 46 5 10 29 Lakuridanda 32 357 89.0 5.0 44 5 10


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30 Lamidanda 34 412 90.4 5.0 44 5 10 31 Gairimudi 17 388 90.0 5.0 43 5 10 32 Katakuti 28 412 90.9 5.0 41 5 10 33 Namdu 42 479 92.1 5.0 41 5 10 34 SuspaKshyamawati 50 325 89.0 5.0 40 5 10 35 Mali 37 300 88.5 5.0 39 5 10 36 Syama 51 211 84.7 5.0 38 5 10 37 Suri 49 252 86.9 5.0 38 5 10 38 Mirge 41 364 91.0 5.0 36 5 10 39 Japhe 21 365 91.9 5.0 32 5 10 40 Kabhre 26 491 93.9 5.0 32 5 10 41 TamchetDudhpokhari 15 218 87.6 5.0 31 5 10 42 Chilankha 12 253 89.4 5.0 30 5 10 43 Magapauwa 36 301 90.9 5.0 30 5 10 44 Hawa 20 183 87.1 5.0 27 5 10 45 Malu 38 276 91.1 5.0 27 5 10 46 Chyama 13 271 91.2 5.0 26 5 10 47 Jhule 22 197 88.7 5.0 25 5 10 48 Bocha 8 351 93.4 5.0 25 5 10 49 Bulung 9 180 88.2 5.0 24 5 10 50 Bhusafeda 6 178 90.4 5.0 19 5 10 51 Chhetrapa 11 238 94.4 5.0 14 5 10 52 Sundrawati 48 302 95.6 5.0 14 5 10

Table 11: Targeting villages and female Illiterates by Priority in Dolkha district

Priority ranking

Priority Score

No. of VDCs


VDC Name

1st 8 3 239 Jhyaku, Khopachagu, Marbu

2nd 9 11 655 BhimeshworMunicipality,Dandakharka,Thulopatal,Kalinchowk,Lamabagar,Orang,Khare,Alampu,Bigu,Chankhu,Gauri Sankar

3rd 10 38 1575 Jiri,Sailungeswor,Lapilang,Ghyang Sukathokar,Pawati,Jungu,Sahare,Babare,Bhedapu,Sunkhani,Bhirkot,Laduk,Melung,Fasku,Lakuridanda,Lamidanda,Gairimudi,Katakuti,Namdu,Suspa Kshyamawati,Mali,Syama,Suri,Mirge,Japhe,Kabhre,Tamchet


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Dudhpokhari,Chilankha,Magapauwa,Hawa,Malu,Chyama,Jhule,Bocha,Bulung,Bhusafeda,Chhetrapa,Sundrawati

Total 52 2469

Table 11 show that priority score 8,9,10 have varied number of villages and illiterates numbers. Priority ranking 1st and 2nd should be given focus regarding illiterates’

numbers where as priority ranking 3rd should be given focus due to maximum villages identified even though low illiterates are analyzed over there.

There are 2469 female illiterates out of total 3241 illiterates are analyzed remained in Dolkha district.


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3.2.2. Rasuwa

3.2.2.1. Rasuwa District total literacy map by age 15 - 24

Map 13 shows the Rasuwa District total literacy map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Rasuwa District total literacy map 15 – 24 given below;

More dark green dots are found in Rasuwa district.

Fewer light green dots are also found in Rasuwa district.

Only two red dots are found namely in Ramche and YarsaVDCs in Rasuwa district.

More literate population is identified in Rasuwa District. 86.5 percent literacy rate ( 6164 out of the total 7661 population ) is found in Rasuwa district


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3.2.2.2. Rasuwa District total illiterate map by age 15 – 24

Map 14 shows the Rasuwa District total illiterate numbersmap by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Rasuwa District illiterate numbersmap 15 – 24 given below;

All most all dark green dots are found in Rasuwa District.

Only three yellow dots are identified in Rasuwa District.

There are no red dots identified in the Rasuwa District.

Illiterate numbers is identified below 100 in number in most of the villages in the Rasuwa district.

There are 1,497 illiterates out of the 7,661 population is identified in the Rasuwa

District.


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3.2.2.3. VDC and total illiterates targeting by age 15 - 24

Table 12 shows that literate status by age group 15 – 24 is seen steady in Rasuwa district. Priority score (above 7) is found satisfactory in 16 out of 18 villages in the Rasuwa district. It implies that there are still fewer illiterates remained in these villages s. Yarsa and RamcheVDCs are analyzed poor regarding illiterates’ cases and

need more attentive effort to reduce the illiterates.

Table 12: VDC’s and illiterates’ identification by priority score in Rasuwa District


Literate Total

Literate Percent

Score 1

Illiterate Total

Score 2

Priority Score

1 Yarsa 18 253 45.9 1 298 3 4

2 Ramche 12 203 48.2 1 218 3 4

3 Bhorle 1 846 80.6 5 204 3 8

4 Saramthali 13 514 74.5 4 176 4 8

5 Haku 8 230 71.9 4 90 5 9

6 Chilime 3 181 72.4 4 69 5 9

7 Bridhim 2 30 78.9 4 8 5 9

8 Dhunche 5 538 86.2 5 86 5 10

9 Dhaibung 9 955 92.6 5 76 5 10

10 Laharepouwa 10 821 92.1 5 70 5 10

11 Dandagoun 4 377 86.3 5 60 5 10

12 Syafru 14 402 92.0 5 35 5 10

13 Gatlang 6 262 90.7 5 27 5 10

14 Thuman 16 97 80.2 5 24 5 10

15 Goljung 7 126 86.3 5 20 5 10

16 Thulogoun 15 245 92.5 5 20 5 10

17 Timure 17 62 83.8 5 12 5 10

18 Langtang 11 22 84.6 5 4 5 10

Table 13 shows that there are more illiterates in the priority ranking 1st and it need more effort for reduction of illiterates remained in the respective villages in Rsuwa District.


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Table 13: Targeting villages and Illiterates by Priority in Rasuwa district

Priority ranking

Priority Score

No. of VDCs


VDC names

1st 4 2 516 Yarsa,Ramche

2nd 8 2 380 Bhorle,Saramthali

3rd 9 3 167 Haku,Chilime,Bridhim

4th 10 11 434 Dhunche,Dhaibung,Laharepouwa,Dandagoun,Syafru,Gatlang,Thuman,Goljung,Thulogoun,Timure,Langtang

Total 18 1497

Although the Priority ranking 2nd, 3rd and 4th are analyzed in high priority score (above 7) status still illiterates are remained in that group. The remaining illiterates from that group should be reduced gradually.


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3.2.2.4. Rasuwa District female literacy map by age 15 – 24

Map 15 shows the Rasuwa District female literacymap by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Rasuwa District female literacy map 15 – 24 given below;

Score pattern is seen varied in Rasuwa district female literacy rate map.

More dark and light green dots are identified in Rasuwa District female literate map.

Fewer yellow dots are also found in Rasuwa District female literacy map.

Only two red dots in Ramche and Yarsavillages are found. Female literacy rate is found as 75.1 percent (3,041 female literate out of the total

4,050 female population) in the Rasuwa District.


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3.2.2.5. Rasuwa District female illiterate map by age 15 – 24

Map 16 shows the Rasuwa District female illiterate numbersmap by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Rasuwa District female illiterate numbersmap 15 – 24 given below;

Maximum dark green dots are found in the Rasuwa District.

Fewer light green dots are also found in the Rasuwa District.

There is no red dot identified in the Rasuwa District.

Dark green and light green dots indicated that most of female illiterate numbers are seen below 100 in number in Rasuwa District VDCs.

24.9 percent of female illiterate ratio (1,009 female illiterate out of the total 4,050 female population) is identified in Rasuwa District.


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3.2.2.6. VDC and female illiterates targeting by age 15 - 24

Table 14 Females literate status by age group 15 – 24 is seen steady in Rasuwa district. Priority score is found satisfactory (above 7) in 16 out of 18 villages in the Rasuwa district. It implies that there is fewer illiterates remained in these villages. Yarsa and Ramchevillages are analyzed poor regarding high female literate illiterates’

numbers. Table 14: Villages’ and female illiterates’ identification by priority score in Rasuwa District

S.N VDC/MUN Name

VDC/MUN Code

Literate Total

Literate Percent

Score 1 Illiterate Total

Score 2 Priority Score

1 Yarsa 18 89 34.8 1.0 167 4 5.0

2 Ramche 12 98 42.4 1.0 133 4 5.0

3 Saramthali 13 253 63.3 3.0 147 4 7.0

4 Bhorle 1 425 74.2 4.0 148 4 8.0

5 Haku 8 110 62.1 3.0 67 5 8.0

6 Chilime 3 89 66.9 3.0 44 5 8.0

7 Dhunche 5 211 76.7 4.0 64 5 9.0

8 Thuman 16 48 76.2 4.0 15 5 9.0

9 Langtang 11 9.0 75.0 4.0 3 5 9.0

10 Dhaibung 9 519 90.3 5.0 56 5 10.0

11 Laharepouwa 10 449 89.4 5.0 53 5 10.0

12 Dandagoun 4 200 82.3 5.0 43 5 10.0

13 Gatlang 6 120 85.7 5.0 20 5 10.0

14 Syafru 14 183 90.6 5.0 19 5 10.0

15 Thulogoun 15 139 90.8 5.0 14 5 10.0

16 Goljung 7 57 85.1 5.0 10 5 10.0

17 Bridhim 2 12 80.0 5.0 3 5 10.0

18 Timure 17 30 90.9 5.0 3 5 10.0

Table 15: Targeting villages and female Illiterates by Priority in Rasuwa district

Priority ranking

Priority Score

No. of VDCs

No. of target

illiterates

VDC names

1st 5 2 300 Yarsa,Ramche

2nd 7 1 147 Saramthali 3rd 8 3 259 Bhorle,Haku,Chilime

4th 9 3 82 Dhunche,Thuman,Langtang 5th 10 9 221 Dhaibung,Laharepouwa,Dandagoun,Gatlang,Syafru,Th

ulogoun,Goljung,Bridhim,Timure Total 18 1009


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Table 15 shows that there are more illiterates remained in priority ranking 1st and need extra effort to reduce the female illiterates in that age group 15 – 24. Priority ranking 3rd and 5th is analyzed critical in terms of illiterates’ number and more villages remained in that respective group. Priority ranking 2nd is also considered alarming for more illiterates registered in those villages.

There are 1009 female illiterates out of total 1497 illiterates by age group 15 -24 are analyzed remained in Rasuwa district.


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3.2.3. Kailali

3.2.3.1. Kailali District total literacy map by age 15 – 24

Map 17 shows the Kailali District total literacy map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Kailali District total literacy map 15 – 24 given below;

There are maximum dark green dots are found in Kailali District.

Dark green dots are also found in Dhangadi and Tikapur municipality.

There are no red dots identified. It indicated that the Kailali District total literacy rate by age group 15 – 24 is analyzed satisfactory.

88.6 percent literacy rate( 150,658 out of the total 170,094 population ) by age group 15 - 24 is found in the Kalilali District


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3.2.3.2. Kailali District total illiterate map by age 15 – 24

Map 18 shows the Kailali District illiterate numbers map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Kailali District illiterate numbers map 15 – 24 given below;

Score patterns are seen varied in Kailali District.

There are many red, orange and yellow dots are identified in the Kailali District.

CLC’s active implementation is seen negligible.

Dhangadi and Tika municipalities are also lagging behind in terms of illiterates.

There are 1,684 and 1,310 illiterates are found in both municipalities. 11.4 percent illiterates (19,436 illiterates out of the total 170,094 population) are found in Kaillali District.


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3.2.3.3. VDC and total illiterates targeting by age 15 - 24

Table 16 shows that about half of the villages (21 out of 44 VDCs) are found vulnerable regarding the high illiterates’ numbers. The priority score system is

analyzed varied in Kailali district. It implies that the illiterates’ situation is also varied

in all villages. Table 16: VDC’s and illiterates’ identification by priority score in Kailali District


Literate Total

Literate Percent

Score 1

Illiterate Total

Score 2

Priority Score

1 Khairala 20 475 58.6 2 335 2 4

2 Sugarkhal 40 2007 77.3 4 590 1 5

3 DhangadhiMunicipality 10 23207 93.2 5 1684 1 6

4 TikapurMunicipality 42 11067 89.4 5 1310 1 6

5 Baliya 1 7798 90.6 5 812 1 6

6 Joshipur 18 4327 85.3 5 744 1 6

7 Sadepani 37 4819 87.3 5 699 1 6

8 Chaumala 7 5033 88.0 5 686 1 6

9 Chuha 6 3462 83.7 5 676 1 6

10 Dododhara 11 3354 83.5 5 664 1 6

11 Masuriya 24 4968 88.6 5 637 1 6

12 Bhajani 4 2911 84.5 5 535 1 6

13 Pathariya 31 3364 86.5 5 527 1 6

14 Malakheti 23 4849 90.3 5 523 1 6

15 Lalbojhi 22 2005 80.3 5 491 1 6

16 Sreepur 39 3295 87.4 5 476 1 6

17 RamsikharJhala 35 3366 88.0 5 458 1 6

18 Pratapapur 34 2633 85.5 5 447 1 6

19 Urma 44 2839 86.7 5 437 1 6

20 Boniya 5 2636 86.5 5 413 1 6

21 Geta 14 3749 90.1 5 410 1 6

22 KotaTulsipur 21 2265 85.1 5 397 2 7

23 Godawari 15 2536 86.5 5 397 2 7

24 Pahalmanpur 29 3107 89.4 5 368 2 7

25 Thapapur 41 2844 88.7 5 363 2 7

26 Phulwari 33 4280 92.3 5 355 2 7

27 Munuwa 26 2303 86.8 5 349 2 7

28 Hasuliya 16 2860 89.5 5 336 2 7

29 Khailad 19 2315 87.4 5 334 2 7

30 Darakh 9 3740 92.0 5 325 2 7

31 Beladevipur 3 2293 88.7 5 293 3 8

32 Durgauli 12 2812 91.1 5 276 3 8

33 Sahajpur 38 1379 83.7 5 268 3 8

34 Gadariya 13 2315 90.3 5 250 3 8

35 Dhansinghapur 8 1791 88.8 5 226 3 8


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36 Narayanpur 27 2234 90.9 5 224 3 8

37 Mohanyal 25 775 79.7 4 197 4 8

38 Udasipur 43 1926 91.9 5 170 4 9

39 Nigali 28 927 86.1 5 150 4 9

40 Janakinagar 17 1130 88.4 5 148 4 9

41 Basauti 2 1279 90.2 5 139 4 9

42 Ratanpur 36 1533 92.9 5 118 4 9

43 Pawera 32 1270 92.4 5 104 4 9

44 Pandaun 30 580 85.9 5 95 5 10

23 out of 44 villages are seen satisfactory regarding the high priority score (above 7) in their respective villages in the Kailali District.

Table 17: Targeting villages and Illiterates by Priority in Kailali district

Priority ranking

Priority Score

No. of VDCs


VDC names

1st 4 1 335 Khairala

2nd 5 1 590 Sugarkhal

3rd 6 19 12,629 Dhangadhi Municipality, Tikapur Municipality, Baliya, Joshipur,Sadepani, Chaumala, Chuha, Dododhara,Masuriya, Bhajani, Pathriya, Malakheti, lalbojhi, Sreepur, RamsikharJhala,Pratapapur, Urma, Boniya, Geta

4th 7 9 3,224 Kotatulsipur, Gadawari, Pahalmanpur, Thapapur, Phulwari, Munuwa, Hasuliya, Khailad, Darakh

5th 8 7 1,734 Beladevipur, Durgauli, Sahajpur, Gadariya,Dhansinghapur, Narayanpur, Mohanyal

6th 9 6 829 Udasipur, Nigali, Janakinagar, Basauti, Ratnpur, Pawera

7th 10 1 95 Pandaun TOTAL 44 19,436

Priority ranking 1st, 2nd and 3rd are analyzed weak in terms of high illiterates’ numbers

and relatively more villages in this part. These priority ranking 1st, 2nd and 3rd should be given high priority for gradual reduction of illiterates in the Kailali district. Priority ranking 4th, 5th and 6th also has some amount of illiterates in their respective villages.


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These ranking groups also need little effort to reduce the illiterate numbers from their respective villages.

3.2.3.4. Kailali District female literacy map by age 15 – 24

Map 19 shows the Kailali District female literacy map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Kailali District female literacy map 15 – 24 given below;

There are more dark green dots are found in the Kailali District female literacy map by age 15 – 24.

Light green dots are also seen in the Kailali district female literacy map by age 15 – 24.

Only one red dot is found in KhairalaVDC in Kailali district female literacy map by age 15 – 24.

Female literacy rate is found 84.0 percent (76,374 literate out of the total 90,870 female population) in the Kailali district.


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3.2.3.5. Kailali District female illiterate map by age 15 – 24

Map 20 shows the Kailali District illiterate numbers map by age group 15 – 24. The map is based upon given 5 scale legend. The following observations are drawn from the Kailali District illiterate numbers map 15 – 24 given below;

Score pattern is seen more varied. More red, yellow and light green dots are found in the Kailali District female illiterate map by age 15 – 24.

CLC’s activce implementation is seen poor.

Dhangaghi municipality is seen lagging behind the female illiterate number by age 15 – 24.

Female illiterate rate is found 15.9 percent (14,496 female illiterate out of the total 90,870 female population) in the Kailali district.


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3.2.3.6. VDC and female illiterates targeting by age 15 - 24

Table 18 shows the villages and female illiterates targeting by age group 15 – 24 in Kailali district. Female priority score is seen satisfactory in compare to total cases in Kailali District. 14 out of 44 villages are seen vulnerable regarding low priority score in Kailali district regarding the female illiterates’ numbers.

30 out of 44 villages are seen satisfactory regarding high priority score in the female illiterate cases in villages within the Kailai district.

Table 18: Villages and female illiterates’ identification by priority score in Kailali District

S.N

VDC/MUN Name VDC/MUN Code

Literate Total

Literate Percent

Score

1

Illiterate

Total

Score 2

Priority Score

1 Sugarkhal 40 869 64.3 3 483 1 4 2 Khairala 20 206 48.9 1 215 3 4 3 Joshipur 18 2103 80.0 4 526 1 5 4 Dododhara 11 1716 76.7 4 522 1 5 5 Chuha 6 1798 78.1 4 503 1 5 6 DhangadhiMunicipality 10 11292 90.8 5 1140 1 6 7 TikapurMunicipality 42 5726 85.9 5 941 1 6 8 Baliya 1 4162 86.7 5 636 1 6 9 Sadepani 37 2395 81.6 5 541 1 6 10 Chaumala 7 2667 83.1 5 541 1 6 11 Masuriya 24 2300 83.3 5 461 1 6 12 Pathariya 31 1801 81.5 5 409 1 6 13 Bhajani 4 1314 77.0 4 392 2 6 14 Lalbojhi 22 899 73.6 4 322 2 6 15 Malakheti 23 2375 85.7 5 397 2 7 16 Sreepur 39 1764 82.4 5 376 2 7 17 RamsikharJhala 35 1653 81.6 5 373 2 7 18 Urma 44 1440 80.3 5 354 2 7 19 Pratapapur 34 1392 80.9 5 329 2 7 20 Godawari 15 1388 81.2 5 321 2 7 21 Boniya 5 1439 82.4 5 307 2 7 22 KotaTulsipur 21 1111 79.1 4 294 3 7 23 Sahajpur 38 655 74.3 4 227 3 7 24 Phulwari 33 2237 88.8 5 281 3 8 25 Geta 14 1964 87.9 5 270 3 8


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26 Thapapur 41 1430 84.6 5 260 3 8 27 Pahalmanpur 29 1620 86.2 5 260 3 8 28 Darakh 9 1888 88.2 5 253 3 8 29 Khailad 19 1214 82.9 5 250 3 8 30 Munuwa 26 1171 82.6 5 246 3 8 31 Hasuliya 16 1480 85.7 5 246 3 8 32 Beladevipur 3 1199 83.2 5 242 3 8 33 Mohanyal 25 357 73.5 4 129 4 8 34 Nigali 28 489 79.5 4 126 4 8 35 Durgauli 12 1579 88.8 5 200 4 9 36 Gadariya 13 1183 86.5 5 184 4 9 37 Narayanpur 27 1224 87.5 5 175 4 9 38 Dhansinghapur 8 951 84.8 5 170 4 9 39 Udasipur 43 976 87.3 5 142 4 9 40 Basauti 2 679 85.7 5 113 4 9 41 Janakinagar 17 547 83.6 5 107 4 9 42 Pandaun 30 240 76.9 4 72 5 9 43 Ratanpur 36 770 90.5 5 81 5 10 44 Pawera 32 711 90.0 5 79 5 10

Table 19 shows the villages level female illiterates target in Kailali district. Priority ranking 3rd, 2nd and 1st is seen vulnerable regarding the low priority score and relatively more illiterates’ numbers still remained in their respective villages. This priority ranking group should be focused more for reduction of illiterates in their villages.

Table 19: Targeting villages and female illiterates by Priority in Kailali district Priority ranking

Priority Score

No. of VDCs


VDC names

1st 4 2 698 Sugarkhal, Khairala 2nd 5 3 1,551 Joshipur, Dododhara, Chuha 3rd 6 9 5,383 dhangadi Municipality,

TikapurMunicipality, Baliya, Sadepani, Chaumala, Masuriya, Pathariya, Bhajani, Lalbojhi

4th 7 9 2,978 Malakheti, Sreepur, RamashkharJhala, Urma, Pratapapur, godawari ,Baniya, Kota Tulsipur,


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Sahajpur

5th 8 11 2,563 Phuwari, Geta, Thapapur, Pahalmanpur, Darakh, Khailad, Munuwa, Hasuliya, Beladevipur, Mohanyal, nigali

6th 9 8 1,163 Durgauli, Gadariya, narayanpur, Dhasinghapur, Udasipur, Basauti, Janakinagar, pandaun

7th 10 2 160 Ratanpur, Pawera Total 44 14,496

Although priority ranking 4th, 5th, 6th and 7th lies in above 7 priority score pattern there are still more illiterates remained in that ranking and need them extra effort to reduce the illiterates. There are 14,496 female illiterates out of total 19,436 illiterates are analyzed remained in Kailali district.

MAJOR FINDINGS

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4. Major Findings

The major findings of the literacy mapping study by national level , regional level and district level scenarios are presented in sub headings given below;

4.1. Total: Age group 15 - 24

4.1.1. Total Literacy rate

Dark green dots are found densely in most of the part of the country.

In total literacy rate by age group 15 – 24 can be considered more strong than literacy rate 5+ and 15 +.

National level literacy rate by age group 15 – 24 is found as 84.7 percent (4,481,559 out of the total 5,290,051 population) in that age group.

More dark green dots are found in the hilly region and upper mountain region in the central development region.

Kathmandu valley is seen high improved regarding the literacy rate.

Score pattern is also seen varied in the central terai region. Red, light green, yellow and orange dots are found in central terai region.

Terai region is considered very weak regarding the literacy rate in the central development region.

There is 81.2 percent (1,578,192 literate populations by age group 15 – 24 out of the total 1,941,542 population) literacy rate identified in the central development region.

Dark green dots are found in all most all VDCs in Dolkha District.

There are 91.0 percent (32,530 out of the total 35,744 population ) recorded in the Dolkha District by age group 15 – 24.

More dark green dots are found in Rasuwa district.

86.5 percent literacy rate ( 6,164 out of the total 7,661 population ) is found in Rasuwa district

There are maximum dark green dots are found in Kailali District.

88.6 percent literacy rate( 150,658 out of the total 170,094 population ) by age group 15 - 24 is found in the Kalilali District

4.1.2. Total Illiterate number

More dark green dots are found in the hilly region in the country.

Kathmandu valley seems more dominated by dark green dots but red dots are found in main municipalities.

MAJOR FINDINGS

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There are 808,492 illiterates out of the total 5,290,051 population remained in the country.

More light green and dark green dots are found in the central and northern part of the central development region.

Kathmandu valley is seen with more dark green but there are red dot identified in the municipalities.

CLC’s effectiveness is seen high in the central and northern part of the central

development region where as it effectiveness is seen very low in the southern part (terai region.).

There are 363,350 illiterates out of the 970,424 population found in the central development region.

More dark green are found in Dolkha district.

CLC’s effectiveness is seen minimal in Dolkha district.

There are 3214 illiterates out of the 35,744 total populations identified in Dolkha district by age group 15 – 24.

All most all dark green dots are found in Rasuwa District.

There are 1,497 illiterates out of the 7,661 population is identified in the Rasuwa District.

Score pattern is very varied in Kailali District.

CLC’s active implementation is seen negligible.

11.4 percent illiterates (19,436 illiterates out of the total 170,094 population) are found in Kaillali District.

4.2. Female: Age group 15 - 24

4.2.1. Female Literacy rate

More dark green dots are found across the country.

Kathmandu valley female literacy status is seen well improved.

Female literacy rate is found 80.2 percent (2,246,814 literate out of the total 2,802,879 population by age group 15 – 24) in the country.

More dark green dots are identified in central and northern part of the central development region.

Dark green dots are also found in Kathmandu valley.

Female literacy rate is defined as 76.1 percent (738,457 female literate out of the total 970,424 population) in the central development region by age group 15 – 24.

More dark green dots are identified in Dolkha district.

MAJOR FINDINGS

65

The female literacy rate is defined as 87.6 percent (17,468 out of the total 19,937 population) in the Dolkha District.

More dark and light green dots are identified in Rasuwa District female literate map.

Female literacy rate is found as 75.1 percent (3,041 female literate out of the total 4,050 female population) in the Rasuwa District.

There are more dark green dots are found in the Kailali District female literacy map by age 15 – 24.

Female literacy rate is found 84.0 percent (76,374 literate out of the total 90,870 female population) in the Kailali district.

4.2.2. Female illiterate number

Dark green dots are seen in most part of the eastern development, central development and western development regionsof the country.

CLC’s activities in the country are seen moderately normal.

Female illiterates are found 18.1 percent (506,065 female illiterates out of the total 2,802,879 population) by age group 15 – 24 in the country.

More dark green and light green dots are found in central and northern part of the central development region.

The effectiveness of CLC is seen steady in central and northern part of the central development region.

The effectiveness of CLC is seen passive in central terai region.

Female illiterate rate is defined as 23.9 percent (231,967 female illiterate out of the total 970,424 population).

All mostdark green are found in the Dolkha District illiterate map.

CLC’s active implementation is seen minimal in Dolkha District

There are 2,469 female illiterates out of the total 19,937 population identified in the Dolkha District.

Maximum dark green dots are found in the Rasuwa District.

24.9 percent of female illiterate ratio (1,009 female illiterate out of the total 4,050 female population) is identified in Rasuwa District.

Score pattern is seen more varied.

CLC’s active implementation is seen poor.

Female illiterate rate is found 15.9 percent (14,496 female illiterate out of the total 90,870 female population) in the Kailali district.

MAJOR FINDINGS

66

4.2.3. Sum up

All most all VDCs in the Dolkha district have above 7 priority score status. 49 out of 52 villages are identified highly satisfactory (priority score above 9) regarding very low illiterates’ number remained in their respective villages. 3 out of 52

villages are identified satisfactory (priority score above 8) regarding the low illiterates numbers in their respective villages.

Females’ literate status by age group 15 – 24 is seen steady in Rasuwa district. Priority score is found satisfactory (above 7) in 16 out of 18 villages in the Rasuwa district. It implies that there is fewer illiterates remained in these villages. The Yarsa and the Ramche villages are analyzed poor regarding high female literate illiterates’ numbers.

30 out of 44 villages are seen satisfactory regarding high priority score in the female illiterate cases in villages within the Kailai district.

MAJOR IMPLICATIONS

67

5. Major Implications

The major implications of the literacy mapping study by national level , regional level and district level scenarios are presented in sub headings given below;

5.1. Total: Age group 15 - 24

5.1.1. Total Literacy rate

National Literacy rate by age group 15 – 24 existing status should be maintained.

Central development region also required more activities for maintaining the existing status of literacy status by age group 15 -24.

Terai region required more input for increment of literacy rate by age group 15 -24.

The overall literacy rate status by age group 15 – 24 should be maintained in the entire three districts namely Dolkha, Rasuwa and the Kailali.

5.1.2. Total Illiterate number

The remaining illiterates in the villages should be targeted and identification of villages’ is also required by priority ranking

CLC’s activities are highly required in the terai region.

The central development region required more literacy programme for remaining high volume of illiterates’ numbers.

CLC’s effectiveness should be improved in all the three district namely Dolkha, Rasuwa and kailali.

The remaining low portion of the illiterates in the three districts should be identified and required literacy plan and programme accordingly.

5.2. Female: Age group 15 – 24

5.2.1. Female Literacy rate

The existing Female literacy rate 80.2 percent across the country should be maintained and improved gradually.

Overall female literacy rate in the central development region is needed to improve by the periodic plan.

Female literacy rate in the Rasuwa District needed extra effort for improvement in literacy rate in compare to the Kailali and the Dolkha District literacy rate status.

MAJOR IMPLICATIONS

68

5.2.2. Female illiterate number

The remaining female illiterates by the age group 15 – 24 in the country should be reduced by the periodic plan.

CLC’s activities are highly required the terai region.

Female illiterates should be given high priority in the central development region for the reduction of illiterates’ number in their respective villages.

Targeting villages and identification of illiterates in all the three Districts namely Dolkha, Rasuwa and Kailali are highly required for gradual reduction of the remaining portion of the female illiterates in their respective villages.

ANNEXES

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6. Annexes

Annexes 1: Literacy rate status by age group 15 - 24

S.N Districts Literate Population by age 15 - 24 Total Population by age 15 - 24 Total Population by age 15 - 24

Male Female Total Male Female Total Male Female Total

1 Taplejung 11483 13133 24616 12116 14176 26292 94.8 92.6 93.6

2 Panchthar 17228 21424 38652 17877 22519 40396 96.4 95.1 95.7

3 Ilam 27645 32077 59722 28524 33183 61707 96.9 96.7 96.8

4 Jhapa 67750 81028 148778 71379 89136 160515 94.9 90.9 92.7

5 Morang 83084 86841 169925 90531 101759 192290 91.8 85.3 88.4

6 sunsari 66394 66830 133224 73708 81480 155188 90.1 82.0 85.8

7 Dhankuta 14624 17619 32243 15061 18408 33469 97.1 95.7 96.3

8 Terhathum 9004 11090 20094 9298 11613 20911 96.8 95.5 96.1

9 Sankhuwasabha 13167 15336 28503 13963 17009 30972 94.3 90.2 92.0

10 Bhojpur 15475 18850 34325 16140 20460 36600 95.9 92.1 93.8

11 Solukhumbu 9219 9941 19160 9935 11492 21427 92.8 86.5 89.4

12 Okhaldhunga 11709 14143 25852 12441 16468 28909 94.1 85.9 89.4

13 Khotang 17600 20846 38446 18520 22874 41394 95.0 91.1 92.9

14 Udaypur 26141 32273 58414 27785 36249 64034 94.1 89.0 91.2

15 Saptari 42813 33381 76194 52468 57927 110395 81.6 57.6 69.0

16 Siraha 40277 30151 70428 52026 56171 108197 77.4 53.7 65.1

17 Dhanusa 52170 35374 87544 70397 65553 135950 74.1 54.0 64.4

18 Mahottari 36146 23931 60077 52080 50593 102673 69.4 47.3 58.5

19 Sarlahi 46767 32613 79380 66892 65075 131967 69.9 50.1 60.2

20 Sindhuli 22606 24071 46677 25321 31724 57045 89.3 75.9 81.8

21 Ramechhap 16293 19801 36094 17305 22963 40268 94.2 86.2 89.6

22 Dolkha 15062 17468 32530 15807 19937 35744 95.3 87.6 91.0

23 Sindhupalanchok 22847 24035 46882 25185 29388 54573 90.7 81.8 85.9

24 Kavre 35397 39429 74826 37065 43855 80920 95.5 89.9 92.5

25 Lalitpur 52668 47577 100245 54704 50870 105574 96.3 93.5 95.0

26 Bhaktapur 34689 32412 67101 35788 34167 69955 96.9 94.9 95.9

27 Kathmanduu 224913 192055 416968 232870 203098 435968 96.6 94.6 95.6

28 Nuwakot 22984 25661 48645 25598 31061 56659 89.8 82.6 85.9

29 Rasuwa 3123 3041 6164 3611 4050 7661 86.5 75.1 80.5

30 Dhading 26152 32389 58541 28200 37756 65956 92.7 85.8 88.8

31 Makwanpur 37494 40662 78156 40611 46554 87165 92.3 87.3 89.7

32 Rautahat 38270 23561 61831 59294 56167 115461 64.5 41.9 53.6

33 Bara 48211 32630 80841 61979 59290 121269 77.8 55.0 66.7

34 Parsa 46050 28748 74798 57788 51076 108864 79.7 56.3 68.7

35 Chitwan 57893 62999 120892 60623 67247 127870 95.5 93.7 94.5

36 Gorkha 19716 26779 46495 20654 29696 50350 95.5 90.2 92.3

37 Lamjung 13011 16529 29540 13463 17705 31168 96.6 93.4 94.8

38 Tanahu 25925 35159 61084 26875 37319 64194 96.5 94.2 95.2

39 Syangja 23340 32492 55832 23834 33472 57306 97.9 97.1 97.4

40 Kaski 54360 55122 109482 55766 57124 112890 97.5 96.5 97.0

41 Manang 655 481 1136 689 514 1203 95.1 93.6 94.4

42 Mustang 1026 950 1976 1101 1112 2213 93.2 85.4 89.3

70

43 Myagdi 8929 11479 20408 9258 12262 21520 96.4 93.6 94.8

44 Parbat 12076 16232 28308 12501 17052 29553 96.6 95.2 95.8

45 Baglung 20578 29816 50394 21426 32363 53789 96.0 92.1 93.7

46 Gulmi 19089 31256 50345 19778 33210 52988 96.5 94.1 95.0

47 Palpa 21518 30547 52065 21993 31887 53880 97.8 95.8 96.6

48 Nawalparasi 56740 63899 120639 60210 73336 133546 94.2 87.1 90.3

49 Rupandehi 82162 75347 157509 89800 95630 185430 91.5 78.8 84.9

50 Kapilvastu 42237 34508 76745 52873 56760 109633 79.9 60.8 70.0

51 Arghakhachi 12926 21983 34909 13404 23353 36757 96.4 94.1 95.0

52 Pyuthan 14305 21523 35828 15052 25825 40877 95.0 83.3 87.6

53 Rolpa 16339 18830 35169 17558 25003 42561 93.1 75.3 82.6

54 Rukum 16731 18028 34759 18289 23094 41383 91.5 78.1 84.0

55 Salyan 20840 22205 43045 22291 27218 49509 93.5 81.6 86.9

56 Dang 47197 56758 103955 50124 65326 115450 94.2 86.9 90.0

57 Banke 41304 39224 80528 49718 53496 103214 83.1 73.3 78.0

58 Bardiya 39029 43686 82715 41830 51052 92882 93.3 85.6 89.1

59 Surkhet 32321 35285 67606 33533 39332 72865 96.4 89.7 92.8

60 Dailekh 21788 20927 42715 23515 27273 50788 92.7 76.7 84.1

61 Jajarkot 13210 11247 24457 15143 16555 31698 87.2 67.9 77.2

62 Dolpa 2525 1673 4198 3076 3459 6535 82.1 48.4 64.2

63 Jumla 8755 5597 14352 10368 11079 21447 84.4 50.5 66.9

64 Kalikot 10735 8008 18743 12076 12803 24879 88.9 62.5 75.3

65 Mugu 4049 2240 6289 4798 5097 9895 84.4 43.9 63.6

66 Humla 3543 1872 5415 4298 4493 8791 82.4 41.7 61.6

67 Bajura 9752 7521 17273 10843 12140 22983 89.9 62.0 75.2

68 Bajhang 14702 10092 24794 16091 18399 34490 91.4 54.9 71.9

69 Achham 18652 15755 34407 20664 25785 46449 90.3 61.1 74.1

70 Doti 15156 14212 29368 16331 21689 38020 92.8 65.5 77.2

71 Kailali 74284 76374 150658 79224 90870 170094 93.8 84.0 88.6

72 Kanchanpur 41058 46041 87099 43139 52880 96019 95.2 87.1 90.7

73 Dadeldhura 11228 13019 24247 11673 15536 27209 96.2 83.8 89.1

74 Baitadi 19443 19699 39142 20412 26576 46988 95.3 74.1 83.3

75 Darchula 10163 10999 21162 10611 13756 24367 95.8 80.0 86.8

Nepal 2234745 2246814 4481559 2487172 2802879 5290051 89.9 80.2 84.7

Literacy Status in Nepal - UNESDOC Databaseunesdoc.unesco.org/images/0022/002276/227685e.pdf · The...

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