“GENDER INDICATORS IN THREE SECTORS”

2011

July, 2011

REPUBLIC OF RWANDA

GovernanceAgriculturePrivate Sector

“GENDER INDICATORS IN THREE SECTORS”

GMO / Gender Monitoring Office 1


REPUBLIC OF RWANDA

GovernanceAgriculturePrivate Sector






Table of Contents

EXECUTIVE SUMMARY................................................................7

Definition of Concepts................................................................8

CHAPTER I. GENDER INDICATORS IN GOVERNANCE SECTOR....11

1.1. Introduction.......................................................................13

1.2. Presentation of gender Indicators in governance sector...14

1.3. Conclusion.........................................................................32

Chap. II. GENDER INDICATORS IN AGRICULTURE SECTOR.........33

2.1. Introduction.......................................................................35

2.2. Presentation of gender indicators in agriculture sector.....36

Conclusion................................................................................46

CHAPTER III. GENDER INDICATORS IN PRIVATE SECTOR ..........47

3.1. Introduction.......................................................................49

3.2. Presentation of gender indicators in Private sector...........51

Conclusion................................................................................60

REFERENCES.............................................................................61



EXECUTIVE SUMMARY

Equal access to opportunities that enhances empowerment of both men and women is a priority for the government of Rwanda. The Government of Rwanda established in 2007 an autonomous body, “Gender Monitoring Office” to monitor the implementation of gender principles and hold institutions accountable in regard to gender mainstreaming. The mandate of the Gender Monitoring Office is to ensure that fundamental principles of gender are respected in all government, private, non-governmental and religious organs. It also monitors the implementation of international agreement and programmes to ensure the respect of gender principles as well as fighting the gender based injustice and violenc e.

To successfully full-fill this mandate, the Gender Monitoring Office needs to have a well developed, comprehensive and responsive gender monitoring and evaluation system with specific gender indicators for each sector of interest. It is in this regard that a gender baseline and key indicators for the four sectors that are critical for economic growth social and justice is developed. The three sectors covered in this booklet are Agriculture, Governance and Private sector. Gender indicators are a valuable tool for gender advocates, policy makers, and other actors working on gender related issues.

To ensure that this balance is occurring in Rwanda there is need of having indicators that will enable the government not only to observe how gender balance is being respected but also to do monitoring and evaluation.

This booklet presents key indicators both national and international for the three sectors: governance, agriculture and private sector. For each indicator, the responsible institutions is required to gather data and the periodicity have been indicated. The report highlights also recommendations that would enable getting data disaggregated by sex for each indicator of the three sectors.


Definition of Concepts3.

There is a need of defining some concepts used in this report to enable a same understanding of them.

Indicator: An instrument that gives you information. An indicator is just a long way of saying “how much” or “how many” or “to what extent” or “what size.” Indicators are ways to measure.

Quantitative indicators: Quantitative indicators are defined as measures of quantity, such as the number of women users in a telecentre, the number of women trained in computer skills or the number of women who have access to the internet compared to men. Quantitative data have long been cited as being more objective, and seek to quantify the experiences or conditions among beneficiaries in numeric terms.

Qualitative indicator: Qualitative indicators are defined as people’s judgments and perceptions on a subject, such as the confidence gained from acquiring computer skills to enable better employment opportunities or having access to the internet for better trading/marketing opportunities. Qualitative data are said to be more subjective. Qualitative data seek to uncover the context, perceptions and quality of, as well as opinions about, a particular experience or condition as its beneficiaries view it. It specially measures the impact of any program, policy, politic, …

Key Performance indicator: it is a set of quantifiable measures that a company, industry or an organization uses to compare performance in terms of meeting its strategic and operational goals. Key Performance indicators (KPIs) vary between companies and industries, depending on the priorities or performance criteria of each company or industry.


Gender indicators: are indicators that give information on gender issues. They differ from gender-sensitive indicators in that gender indicator focuses on issues other than gender relations but include data disaggregated by sex. Gender-sensitive indicators do not specifically address gender issues per se but are coined in a way that does not invisibilize women. Gender indicators are primarily used for the purpose of monitoring the not only the implementation of international agreements that relates to gender equality but also used to monitor and evaluate gender issues at national level.

Baseline: it is a ‘pre-operation exposure’ condition for the set of indicators that will be used to assess achievement of the outcomes and impact expressed in the programme’s logical framework. When compared with the condition of the same indicators at some point during implementation (mid-term evaluation) and post-operation implementation (final evaluation), the baseline forms the basis for a ‘before and after’ assessment or a ‘change over time’ assessment. Without baseline data to establish pre-operation conditions for outcome and impact indicators it is difficult to establish whether change at the outcome level has in fact occurred.

Gender mainstreaming: is defined as the reorganisation, improvement, development and evaluation of policy processes so that a gender equality perspective is incorporated in all policies at all levels and all stages, by the actors normally involved in policy making.

Decision-making: is the study of identifying and choosing alternatives based on the values and preferences of the decision maker. Making a decision implies that there are alternative choices to be considered, and in such a case we want not only to identify as many of these alternatives as possible but to choose the one that (1) has the highest probability of success or effectiveness and (2) best fits with our goals, desires, lifestyle, values, and so on.


Why disseminating gender indicators?

Dissemination of gender indicators will facilitate GMO in implementation of the raised recommendations, which are:

Assist other relevant institutions in producing gender sensitive

data, developing data collection tools, and ensuring that they are effectively used;Identification of the best practices of sharing gender sensitive

data with other stakeholders intervening in gender area;

GMO facilitation in the development of a reporting system

that takes into consideration sex disaggregated data and

gender sensitive data;

Establishment of a systematic mentoring and coaching

mechanism from central level to decentralized level in producing and using disaggregated data by sex;Raising awareness among the institutions on the importance

of gender indicators key sectors.


GENDER INDICATORS IN GOVERNANCE SECTOR



CHAPTER I. GENDER BASELINE AND INDICATORS IN GOVERNANCE SECTOR

1.1. Introduction

The government of Rwanda has made tremendous achievement towards equal participation of women and men in decision-making positions. The Rwanda’s political commitment has been illustrated by the development of national frameworks and mechanisms including, but not limited to the Constitution of the Republic of Rwanda of 04 June 2003, the Vision 2020, Economic Development and Poverty Reduction Strategy, National Gender Policy and Decentralization Policy.

Also, major achievements have been registered in adopting legal measures and reforms favouring women, putting in place policies and strategies to ensure that women participate actively in the leadership. The Constitution of the Republic of Rwanda of 04 June 2003 highlights gender as a cross-cutting issue and provides that women should be represented at a rate of “at least 30%” in decision-making organs at all levels, of public sector, private sector and civil society. This provision applies also to political parties.

Equal representation of men and women in decision-making bodies is essential for the achievement of both transparent and accountable governance and administration, and sustainable development in all areas of life. It is therefore important to ensure that women and men have equal rights in regards to voting, participating in the formulation of government policies, participation in non-governmental organizations


and representation of their government at the international level.

Achieving the goal of equal participation of women and men in governance provides a balance that reflects more accurately the composition of society and it is needed in order to strengthen democracy and promote its proper functioning.

Equal participation of men and women in governance plays a pivotal role in the general process of the advancement of both genders. It does not only reflect the demand for simple justice or democracy, but it can also be seen as a necessary condition for taking into consideration women’s interests. A good representation of women in politics, decision-making organs, Governments and legislative bodies may contribute to redefining political priorities, placing new items on the political agenda that reflect and address women’s gender-specific concerns, values and experiences, and providing new perspectives on mainstream political issues.

1.2. Presentation of gender Indicators in governance sector

Considering key gender indicators in governance in international frameworks and EDPRS, it is necessary to mention that there is no specific gender indicator for governance in EDPRS. However, some few gender indicators related to governance at international level (BPFA, CEDAW, MDGs, Resolution 1325) are presented below.

Number of women into the public sector,- Number of women in civil servants to senior level positions,-


Proportion of women’s representation in national and local - committees,Number of women and men participating in politics;- Measures to eliminate discrimination against women in the - political and public life of the country,Number of women and men who have equal rights in the field - of employment,Participation of women and men in security organs;- Role of security organs to fighting gender based violence, -

At national level, the identified gender indicators are subdivided into three main categories including:

Men and women in decision-making organs,- Men and women in high - decision-making positions,Men and women in technical positions -

Proposed gender indicators are discussed at the following levels of power: the Executive, the Legislative, and the Judiciary. Key gender indicators in Civil Society Organizations and Private Sector are also presented.


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xecu

tive

tech

nica

l dec

isio

n-m

akin

g po

sitio

ns

Indi

cato

rRe

fere

nce

valu

e in

per

cent

age

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of d

ata

colle

ction

Tota

l num

ber

Mal

e in

nu

mbe

r/ %

Fem

ale

in

num

ber /

%Pe

rcen

tage

of m

en a

nd w

omen

Ex

ecuti

ve S

ecre

tarie

s of P

rovi

nces

M

INAL

OC

Adm

inist

rativ

e da

taRe

gula

r up

date

MIF

OTR

APe

rcen

tage

of m

en a

nd w

omen

Ex

ecuti

ve S

ecre

tarie

s of d

istric

tsM

INAL

OC

Adm

inist

rativ

e da

taRe

gula

r up

date

MIF

OTR

APe

rcen

tage

of m

en a

nd w

omen

Ad

viso

rs

MIF

OTR

AAd

min

istra

tive

data

Regu

lar

upda

teM

IFO

TRA

Perc

enta

ge o

f men

and

wom

en

dire

ctor

s uni

tsM

IFO

TRA

Adm

inist

rativ

e da

taRe

gula

r up

date

MIF

OTR

APe

rcen

tage

of m

en a

nd w

omen

se

ctor

Exe

cutiv

e Se

cret

arie

sDi

stric

t M

INAL

OC

Ad

min

istra

tive

data

Regu

lar

upda

teDi

stric

t M

INAL

OC


Indi

cato

rRe

fere

nce

valu

e in

per

cent

age

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of d

ata

colle

ction

Tota

l num

ber

Mal

e in

nu

mbe

r/ %

Fem

ale

in

num

ber /

%Pe

rcen

tage

of m

en a

nd w

omen

Ce

ll Ex

ecuti

ve S

ecre

tarie

sM

INAL

OC

Ad

min

istra

tive

data

Regu

lar

upda

teDi

stric

t M

INAL

OC

Perc

enta

ge o

f men

and

wom

en

Chie

f of V

illag

esDi

stric

t M

INAL

OC

Ad

min

istra

tive

data

Regu

lar

upda

teDi

stric

t M

INAL

OC

Perc

enta

ge o

f men

and

wom

en

Head

s of p

rimar

y Pu

blic

Sch

ools

Dist

rict

MIN

EDU

C /

Stati

stic

OFF

ICE

Adm

inist

rativ

e da

taRe

gula

r up

date

Dist

rict

MIN

EDU

C

Perc

enta

ge o

f men

and

wom

en

Head

s of P

ublic

Sec

onda

ry S

choo

ls Di

stric

t M

INED

UC

Adm

inist

rativ

e da

taRe

gula

r up

date

Dist

rict

MIN

EDU

C

Perc

enta

ge o

f men

and

wom

en

seni

or st

aff in

Em

bass

ies

MIN

AFET

Ad

min

istra

tive

data

Regu

lar

upda

teM

INAF

ET

Perc

enta

ge o

f men

and

wom

en

dire

ctor

s of p

rison

sPr

isons

Hea

d O

ffice

Ad

min

istra

tive

data

Regu

lar

upda

teM

ININ

TER

Perc

enta

ge o

f men

and

wom

en

vice

- di

rect

ors o

f pris

ons

Priso

ns H

ead

Offi

ceAd

min

istra

tive

data

Regu

lar

upda

teM

ININ

TER


The

Legi

slati

ve P

ower

b.

Tabl

e4: L

egis

lativ

e de

cisi

on-m

akin

g or

gans

Indi

cato

rRe

fere

nce

valu

e in

per

cent

age

Data

sour

ceDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to c

olle

ctRe

spon

sibl

e of

da

ta c

olle

ction

Tota

l nu

mbe

r M

ale

in

num

ber/

%

Fem

ale

in

num

ber

/%Pe

rcen

tage

of m

en a

nd w

omen

in

Bure

au o

f cha

mbe

r of D

eput

y N

ation

al P

arlia

men

t, Ch

ambe

r of D

eput

yEl

ecto

ral d

ata

5 ye

ars

FFRP

Perc

enta

ge o

f men

and

wom

en in

Bu

reau

of c

ham

ber o

f Sen

ate

Nati

onal

Par

liam

ent,

Cham

ber o

f Sen

ate

Elec

tora

l dat

a 8

year

sFF

RP

Tabl

e5: L

egis

lativ

e hi

gh d

ecis

ion-

mak

ing

posi

tions

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

colle

ction

Tota

l nu

mbe

r

Mal

e in

nu

mbe

r/

%

Fem

ale

in

num

ber

/%Pe

rcen

tage

of m

en a

nd w

omen

in

bur

eau

of C

ham

ber o

f Dep

uty

Cham

ber o

f Dep

uty

Data

from

el

ectio

n5

year

s Pa

rliam

ent

NEC

Perc

enta

ge o

f men

and

wom

en

Depu

ties

Cham

ber o

f Dep

uty/

Depa

rtm

ent o

f Res

earc

h Da

ta fr

om

elec

tion

5 ye

ars

Parli

amen

tN

EC

Perc

enta

ge o

f men

and

wom

en

pres

iden

t of c

ham

ber o

f sta

ndin

g co

mm

ittee

sCh

ambe

r of D

eput

yDa

ta fr

om

elec

tion

5 ye

ars

Parli

amen

tN

EC

Perc

enta

ge o

f men

and

wom

en

in b

urea

u of

Cha

mbe

r of S

enat

e

Cham

ber o

f Sen

ate

/De

part

men

t of r

esea

rch

Da

ta fr

om

elec

tion

8 ye

ars

Parli

amen

tN

EC


Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

colle

ction

Tota

l nu

mbe

r

Mal

e in

nu

mbe

r/

%

Fem

ale

in

num

ber

/%Pe

rcen

tage

of m

en a

nd w

omen

Se

nato

rs

Cham

ber o

f Sen

ate

/De

part

men

t of r

esea

rch

Da

ta fr

om

elec

tion

8 ye

ars

Parli

amen

tN

EC

Perc

enta

ge o

f men

and

w

omen

pre

siden

t of s

tand

ing

com

mitt

ees C

ham

ber o

f Sen

ate

Cham

ber o

f Sen

ate

/De

part

men

t of r

esea

rch

Da

ta fr

om

elec

tion

8 ye

ars

Parli

amen

tN

EC

The

Judi

ciar

y Po

wer

c.

Ta

ble6

: Jud

icia

ry h

igh

deci

sion

-mak

ing

posi

tions

Indi

cato

rRe

fere

nce

valu

e in

per

cent

age

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of d

ata

colle

ction

Tota

l num

ber

Mal

e in

nu

mbe

r/ %

Fem

ale

in

num

ber /

%Pe

rcen

tage

of m

en a

nd w

omen

Pr

esid

ent a

nd V

ice

pres

iden

t at

supr

eme

cour

t

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

8 ye

ars

Supr

eme

cour

t Pe

rcen

tage

of m

en a

nd w

omen

Ju

dges

at s

upre

me

cour

tSu

prem

e co

urt /

Pl

anni

ng U

nit

Adm

inist

rativ

e da

taRe

gula

r up

date

Su

prem

e co

urt

Perc

enta

ge o

f wom

en a

nd m

en

insp

ecto

rs a

t sup

rem

e co

urt

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f men

and

wom

en

Pres

iden

t and

Vic

e Pr

esid

ent/

Hig

h Co

urt

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f Jud

ges/

Hig

h Co

urt

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f men

and

wom

en

Pres

iden

t an

d V

ice

Pres

iden

t/Hi

gh

com

mer

cial

Cou

rt

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f men

and

wom

en

Judg

es/H

igh

Com

mer

cial

Cou

rt

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt


Indi

cato

rRe

fere

nce

valu

e in

per

cent

age

Data

sour

ceDa

ta

colle

ction

m

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of d

ata

colle

ction

Tota

l num

ber

Mal

e in

nu

mbe

r/ %

Fem

ale

in

num

ber /

%Pe

rcen

tage

of m

en a

nd w

omen

Vi

ce P

resid

ent/

Com

mer

cial

Cou

rts

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f men

and

wom

en

Judg

es/ C

omm

erci

al C

ourt

sSu

prem

e co

urt /

Pl

anni

ng U

nit

Adm

inist

rativ

e da

taRe

gula

r up

date

Supr

eme

cour

t Pe

rcen

tage

of m

en a

nd w

omen

pr

esid

ents

Inte

rmed

iate

Cou

rts

Supr

eme

cour

t /

Plan

ning

Uni

tAd

min

istra

tive

data

Regu

lar

upda

teSu

prem

e co

urt

Perc

enta

ge o

f men

and

wom

en

Vice

Pre

siden

ts/ I

nter

med

iate

cour

t Su

prem

e co

urt /

Pl

anni

ng U

nit

Adm

inist

rativ

e da

taRe

gula

r up

date

Supr

eme

cour

t Pe

rcen

tage

of m

en a

nd w

omen

Ju

dges

/ int

erm

edia

te c

ourt

s Su

prem

e co

urt /

Pl

anni

ng U

nit

Adm

inist

rativ

e da

taRe

gula

r up

date

Supr

eme

cour

t Pe

rcen

tage

of m

en a

nd w

omen

pr

esid

ents

of P

rimar

y co

urts

Su

prem

e co

urt /

Pl

anni

ng U

nit

Adm

inist

rativ

e da

taRe

gula

r up

date

Supr

eme

cour

t

Perc

enta

ge o

f men

and

wom

en

Judg

es a

t prim

ary

cour

ts

Supr

eme

cour

t /

Plan

ning

Uni

t

Perc

enta

ge o

f men

and

wom

en

Gene

ral p

rose

cuto

r and

Dep

uties

Gene

ral

pros

ecut

or

Offi

ce /

Hum

an

reso

urce

offi

ce

Adm

inist

rativ

e da

ta8

year

sO

ffice

of

the

Gene

ral

pros

ecut

or

Perc

enta

ge o

f men

and

wom

en

Head

of D

epar

tmen

t at

High

er

Cour

ts

Gene

ral

pros

ecut

or

Offi

ce

Adm

inist

rativ

e da

taRe

gula

r up

date

O

ffice

of

the

Gene

ral

pros

ecut

or

Perc

enta

ge m

en a

nd w

omen

pr

ocur

emen

t Chi

ef a

t low

er c

ourt

s

Gene

ral

pros

ecut

or

Offi

ce

Adm

inist

rativ

e da

taRe

gula

r up

date

O

ffice

of

the

Gene

ral

pros

ecut

or


Gov

erna

nce

in C

ivil

Soci

ety

orga

niza

tions

d.

Tabl

e7: C

ivil

Soci

ety

deci

sion

-mak

ing

orga

ns

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to c

olle

ct

Resp

onsi

ble

of d

ata

colle

ction

Tota

l nu

mbe

r

Mal

e in

nu

mbe

r/

%

Fem

ale

in

num

ber

/%Pe

rcen

tage

of m

en a

nd w

omen

mem

bers

of

Boa

rds o

f Dire

ctor

s in

Plat

e fo

rm o

f Civ

il So

ciet

y O

rgan

izatio

ns

Plat

e fo

rm o

f Ci

vil S

ocie

ty

/Hum

an

Reso

urce

O

ffice

Adm

inist

rativ

e da

taRe

gula

r up

date

Plat

e fo

rm o

f Ci

vil S

ocie

ty

Secr

etar

iat

Perc

enta

ge o

f men

and

wom

en m

embe

rs

of B

oard

s of D

irect

ors o

f Civ

il So

ciet

y O

rgan

izatio

ns( H

uman

righ

ts ,

wom

en’s

orga

niza

tions

, Fai

th b

ased

org

aniza

tions

etc

)

Pro

fem

mes

, Fo

rum

des

co

nfes

sions

re

ligie

uses

, N

HRC

Adm

inist

rativ

e da

taRe

gula

r up

date

MIN

ALO

C

Perc

enta

ge o

f men

and

wom

en in

Bur

eaus

of

Boar

ds o

f Civ

il So

ciet

y O

rgan

izatio

nsPr

o fe

mm

es,

Foru

m d

es

conf

essio

ns

relig

ieus

es,

NHR

C

Adm

inist

rativ

e da

taRe

gula

r up

date

MIN

ALO

C

Men

and

wom

en in

boa

rd m

embe

rs o

f ch

urch

es

Relig

ious

fo

rum

Ad

min

istra

tive

data

Regu

lar

upda

teRe

ligio

us

foru

m


Tabl

e8: H

igh

Gov

erna

nce

posi

tions

in c

ivil

soci

ety

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTo

tal

num

ber

Mal

e in

nu

mbe

r/ %

Fem

ale

in

num

ber

/%Pe

rcen

tage

of m

en a

nd w

omen

Pr

esid

ent o

f Civ

il So

ciet

y O

rgan

izatio

ns’

Offi

ce o

f the

pla

te

form

of C

ivil

Soci

ety

Org

anisa

tions

Adm

inist

rativ

e da

taRe

gula

r up

date

PRO

FEM

MES

Perc

enta

ge o

f men

and

wom

en

vice

pre

siden

t of c

ivil

soci

ety

Offi

ce o

f the

pla

te

form

of C

ivil

Soci

ety

Org

anisa

tions

Adm

inist

rativ

e da

taRe

gula

r up

date

PRO

FEM

MES

Perc

enta

ge o

f men

and

wom

en

Exec

utive

Sec

reta

ries/

Nati

onal

co

ordi

nato

rs o

f civ

il so

ciet

y or

gani

zatio

ns.

Offi

ce o

f the

pla

te

form

of C

ivil

Soci

ety

Org

anisa

tions

Adm

inist

rativ

e da

taRe

gula

r up

date

PRO

FEM

MES

Perc

enta

ge o

f men

and

wom

en

Head

s of c

hurc

hes

Offi

ce o

f the

For

um

of fa

ith b

ased

or

gani

satio

ns

Adm

inist

rativ

e da

taRe

gula

r up

date

Foru

m S

ecre

taria

t

Gov

erna

nce

in P

rivat

e se

ctor

e.

Tabl

e9: D

ecis

ion-

mak

ing

orga

ns in

Priv

ate

sect

or

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to

colle

ct

Resp

onsi

ble

of d

ata

colle

ction

Tota

l nu

mbe

r

Mal

e in

nu

mbe

r/

%

Fem

ale

in

num

ber /

%

Perc

enta

ge o

f men

and

w

omen

mem

bers

of P

SF

Boar

d ,

PSF

Head

Offi

ce /

Hum

an R

esou

rce

Offi

ce

Adm

inist

rativ

e da

taRe

gula

r up

date

PSF

Perc

enta

ge o

f men

and

w

omen

in P

SF B

urea

u of

Bo

ard

PSF

Head

Offi

ceAd

min

istra

tive

data

Regu

lar

upda

tePS

F


Perc

enta

ge o

f men

an

d w

omen

in H

igh

man

agem

ent/

boar

d of

big

com

pani

es/

Ente

rpris

es in

PSF

PSF

Head

Offi

ce

Adm

inist

rativ

e da

taRe

gula

r up

date

PSF

Perc

enta

ge o

f men

and

w

omen

in sm

all a

nd

med

ium

ent

erpr

ises i

n PS

FPS

F He

ad O

ffice

Ad

min

istra

tive

data

Regu

lar

upda

tePS

F

Tabl

e10:

Hig

h de

cisi

on-m

akin

g po

sitio

ns in

Priv

ate

sect

or

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e

Data

sour

ceDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to

colle

ct

Resp

onsi

ble

of d

ata

colle

ction

Tota

l nu

mbe

r

Mal

e in

nu

mbe

r/

%

Fem

ale

in

num

ber /

%

Perc

enta

ge o

f men

and

wom

en

Rect

ors i

n Pr

ivat

e H

igh

lear

ning

in

stitu

tions

MIN

EDU

C/

High

Cou

ncil

Lear

ning

O

ffice

Adm

inist

rativ

e da

taRe

gula

r up

date

MIN

EDU

C

Num

ber

of m

en a

nd w

omen

PSF

Ch

ief E

xecu

tive

Secr

etar

yPS

FAd

min

istra

tive

data

Regu

lar

upda

tePS

F

Perc

enta

ge o

f men

and

wom

en

owne

rs o

f Priv

ate

Radi

oM

edia

Hig

h Co

unci

l Ad

min

istra

tive

data

Regu

lar

upda

teM

edia

Hig

h Co

unci

l

Perc

enta

ge o

f men

and

wom

en o

f pr

int m

edia

ow

ners

Med

ia H

igh

Coun

cil

Adm

inist

rativ

e da

taRe

gula

r up

date

Med

ia H

igh

Coun

cil

Perc

enta

ge o

f men

and

wom

en

Dire

ctor

s of P

rivat

e Ra

dio

Med

ia H

igh

Coun

cil

Adm

inist

rativ

e da

taRe

gula

r up

date

Med

ia H

igh

Coun

cil


Tabl

e11:

Priv

ate

tech

nica

l pos

ition

s

Indi

cato

r

Refe

renc

e va

lue

in p

erce

ntag

e Da

ta so

urce

Data

col

lecti

on

met

hod

Freq

uenc

y to

co

llect

Resp

onsi

ble

of

data

col

lecti

on

Tota

l nu

mbe

r M

ale

in

num

ber/

%Fe

mal

e in

nu

mbe

r /%

Perc

enta

ge o

f men

and

w

omen

Hea

ds o

f prim

ary

Priv

ate

Scho

ols

Dist

rict

MIN

EDU

C / S

tatis

tic

OFF

ICE

Adm

inist

rativ

e da

taRe

gula

r up

date

Dist

rict

MIN

EDU

C

Perc

enta

ge o

f men

and

w

omen

Hea

ds o

f Priv

ate

Se

cond

ary

Scho

ols

Dist

rict

MIN

EDU

C Ad

min

istra

tive

data

Regu

lar

upda

teDi

stric

t M

INED

UC

Perc

enta

ge o

f men

an

d w

omen

dire

ctor

of

depa

rtm

ents

in P

SF

PSF/

Hum

an

Reso

urce

Offi

cer

Adm

inist

rativ

e da

taRe

gula

r up

date

PSF

Perc

enta

ge o

f men

and

w

omen

Pre

siden

t of c

ham

bers

in

PSF

PSF/

Hum

an

Reso

urce

Offi

cer

Adm

inist

rativ

e da

taRe

gula

r up

date

PSF

Perc

enta

ge o

f men

and

w

omen

BDS

man

ager

s in

dist

ricts

PSF

BDS

Depa

rtm

ent

Adm

inist

rativ

e da

taRe

gula

r up

date

PSF


2.2.

Qua

litati

ve G

ende

r Ind

icat

ors

This

secti

on sh

ows i

denti

fied

qual

itativ

e ge

nder

indi

cato

rs in

gov

erna

nce

as sh

own

in th

e ta

ble

belo

w:

Tabl

e12:

Qua

litati

ve in

dica

tors

in g

over

nanc

e

Indi

cato

rO

rigin

of t

he

indi

cato

rRe

fere

nce

valu

e Da

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onW

omen

and

men

hav

e an

equ

al a

nd

effec

tive

parti

cipa

tion

in c

abin

et d

ebat

eBP

FARw

anda

Con

stitu

tion

2003

Surv

ey

repo

rt

Surv

ey5

year

sGM

O

How

the

influ

ence

of m

en a

nd w

omen

M

inist

ers a

re p

erce

ived

the

by th

e po

pula

tion;

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rt

Surv

ey5

year

sGM

O

Envi

ronm

ent f

or w

omen

’s pa

rtici

patio

n in

Par

liam

ent d

ecisi

on m

akin

g or

gans

is

cond

uciv

e.

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rt

Surv

ey

5 ye

ars

FFRP

Wom

en a

nd m

en in

Par

liam

ent h

ave

equa

l acc

ess o

f offi

cial

info

rmati

on a

t th

e sa

me

time

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rt

Surv

ey

5 ye

ars

FFRP

Perm

anen

t fra

mew

ork

of d

ialo

gue

betw

een

wom

en le

ader

s ele

cted

at

natio

nal l

evel

and

thos

e el

ecte

d at

gr

assr

oots

leve

l exi

st a

nd is

func

tioni

ng

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Mee

tings

re

cord

sRe

gula

r up

date

FF

RPDi

stric

ts

Men

and

wom

en p

erfo

rm d

ecisi

on

mak

ing

func

tions

with

out a

ny

ster

eoty

pe

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Surv

ey

Regu

lar

upda

te

FFRP

Uni

ty C

lub


Indi

cato

rO

rigin

of t

he

indi

cato

rRe

fere

nce

valu

e Da

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onM

en a

nd w

omen

in d

ecisi

on m

akin

g po

sition

s par

ticip

ate

in n

ation

al

dial

ogue

with

out a

ny d

iscrim

inati

on o

r st

ereo

type

s;

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

SURV

EYRe

gula

r up

date

FF

RPU

nity

Clu

b

Cabi

net d

ecisi

ons c

onsid

er th

e ne

eds

and

inte

rest

s of b

oth

men

and

wom

en

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Cabi

net

reso

lutio

n an

d su

rvey

Regu

lar

upda

te

UN

ITY

CLU

B

The

lang

uage

/ jok

es u

sed

by m

en a

nd

wom

en in

var

ious

dec

ision

mak

ing

bodi

es a

re fa

ir fo

r bot

h m

en a

nd

wom

en;

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Gend

er a

udit

Regu

lar

upda

te

GMO

The

PSF

boar

d m

embe

rs d

ecisi

ons

take

into

con

sider

ation

the

capa

citie

s,

cons

trai

nts a

nd o

ppor

tuni

ties o

f bot

h m

en a

nd w

omen

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Gend

er a

udit

Regu

lar

upda

te

PSF

GMO

The

activ

e an

d eff

ectiv

e pa

rtici

patio

n of

bo

th m

en a

nd w

omen

in P

SF a

re o

ften

to b

e th

e sa

me;

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Surv

eyRe

gula

r up

date

PS

F

The

natio

nal s

ecur

ity o

rgan

s(ar

my,

polic

e an

d pr

isons

serv

ices

) are

aw

are

on th

e iss

ues o

f gen

der e

qual

ity a

nd

GBV;

UN

132

5 Re

solu

tion

NGP

Repo

rts

Surv

ey

Regu

lar

upda

te

MIN

ADEF

MIN

INTE

RN

ation

al P

olic

e

CSO

s/Fa

ith b

ased

org

aniza

tions

di

alog

ue a

nd d

ebat

e co

nsid

er th

e di

ffere

nce

need

s and

inte

rest

s of

men

an

d w

omen

;

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Rese

arch

Regu

lar

upda

te

MIN

ALO

C Pl

ate

form

of

CSO

’s

The

perc

eptio

ns o

f men

and

wom

en o

f th

eir l

evel

of i

nflue

ncin

g de

cisio

ns ta

ken

in v

ario

us b

odie

s, fo

rum

, com

mitt

ees.

BPFA

Rwan

da C

onsti

tutio

n 20

03N

GP

Repo

rts

Mee

tings

re

cord

sRe

gula

r up

date

Pr

emie

r M

inist

er’s

Offi

ce


Indi

cato

rO

rigin

of t

he

indi

cato

rRe

fere

nce

valu

e Da

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

on

The

degr

ee o

f mut

ual s

uppo

rt a

mon

g m

en a

nd w

omen

in d

ecisi

on m

akin

g or

gans

, pos

ition

s etc

. C

EDAW

, BPF

A, N

GPRe

port

s Su

rvey

Regu

lar

upda

te

MIG

EPRO

F

The

scho

ols d

ecisi

on m

akin

g or

gans

are

aw

are

on sp

ecifi

c ge

nder

issu

es o

f bot

h bo

y an

d gi

rls a

t sch

ool e

nviro

nmen

t. M

DG, B

PFA,

NGP

Repo

rts

Adm

inist

rativ

e re

cord

s and

su

rvey

Regu

lar

upda

te

MIN

EDU

C

How

the

parti

cipa

tion

of m

en a

nd

wom

en in

scho

ols d

ecisi

on m

akin

g or

gans

/pos

ition

s fac

ilita

te to

redu

ce

gend

er in

equa

lities

bet

wee

n bo

y an

d gi

rls

MDG

, BPF

A, N

GPRe

port

s

Reso

lutio

n fr

om sc

hool

co

mm

ittee

s ;Su

rvey

Regu

lar

upda

te

MIN

EDU

C


1.3. Conclusion

In order to accomplish its mandate of assuring gender mainstreaming in all development activities, GMO thinks that the starting point is to set up mechanisms that will guarantee proper data collection and analysis methods in gender sensitive way for effective monitoring and evaluation of different interventions as well as planning processes.

The development of gender sensitive indicators and baseline in governance sector has revealed that disaggregation of data by sex are not available in some institutions despite enormous achievements observed in that area. Each public, private and CSO, from central to decentralized level should conduct a situational analysis and generate sex disaggregated data in their areas of focus. An analysis of baseline data establishes whether there is any difference between men and women’s control over resources and opportunities that promote gender equality. In this regards, CSOs have to put more effort in collecting data and disaggregate them by sex in order to help in achieving gender mainstreaming goal.

A regular collection of update sex disaggregated data can help bridging the gap identified during the process of developing gender sensitive indicators and baseline in governance sector.


GENDER INDICATORS IN AGRICULTURE SECTOR



Chap. II. GENDER INDICATORS IN AGRICULTURE SECTOR

2.1. Introduction

Rwanda’s economy is largely based on agriculture, it employs more than 80% of the population and its contribution to GDP varies from 30% to 40%1. In terms of household, 85% of heads of households, of which 27% are female, are occupied in agriculture2. The objectives of the Vision 2020 include modernization of agriculture and its integration with other economic activities3 by introducing improved practices in both land management and utilization, but also the adoption of soil fertility-enhanced techniques.

The culmination of this transformation should lead to sustainable development that requires, among other things, participation of all, men and women, without any kind of discrimination because social cohesion and equity between various actors are of fundamental importance.

Meanwhile, it can be highlighted that in terms of gender equity, heavy burdens continue to be placed upon women, who contribute much in the activities of producing food crops. Furthermore, certain activities, such as manuring and managing livestock, are also mainly done by girls and boys4.

1 MINAGRI, Agriculture Gender Strategy, November 2010, p.2.2 NISR, National Agricultural Survey 2008, February 2010, p.20.3 MINECOFIN, Vision 2020, November 2002, p.8.4 MINAGRI, Strategic Plan for the Transformation of Agriculture in Rwanda – Phase II (PSTA II), Final Report, February 2009.


However, participation of everyone in the country’s major policies requires compliance with the principle of equal access to opportunities between men and women. To this end, the EDPRS as other important policy documents and sector strategies recommend that gender be considered in all actions undertaken for economic growth and poverty reduction and for the well-being of the population.

Given that gender equality is reflected in day-to-day life, its impact could be measured from objectively verifiable indicators. These indicators help not only in identifying the gap between men and women but also in formulating recommendations to reduce the gap in the short, medium or long-term.

In this chapter, our attention focuses on gender indicators in the field of agriculture at international and national level. The findings from the study carried out by GMO on “Gender baseline and indicators in four sectors” showed that most indicators do not have available data for the whole population or for both sexes. Tables below present quantitative or qualitative gender indicators in agriculture with or without reference data by distinguishing international indicators from national ones.

2.2. Presentation of gender in agriculture sector

International key indicators recommended at national level1.

The following tables show key international indicators recommended to national level with the appropriate data collection method and the frequency of the indicator.


Qua

ntita

tive

indi

cato

rs1.

1.

Indi

cato

rRe

fere

nce

valu

eDa

ta

colle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of d

ata

Tota

lM

ale

Fem

ale

Perc

enta

ge o

f fem

ale/

mal

e la

bor f

orce

in a

gric

ultu

re

(age

15

and

over

)Pe

rcen

tage

--

-An

nual

y

Perc

enta

ge o

f fem

ale/

mal

e la

bor f

orce

in m

anag

eria

l oc

cupa

tions

in th

e ag

ricul

ture

sect

orPe

rcen

tage

--

-An

nual

y

Empl

oym

ent/

unem

ploy

men

t rat

e of

wom

en/m

en,

urba

n/ru

ral.

Perc

enta

ge-

--

Annu

aly

Aver

age

ferti

lizer

con

sum

ption

(kg

per h

ecta

re o

f ara

ble

land

) by

sex

of h

ouse

hold

hea

d

Perc

enta

ge-

--

-

Perc

enta

ge o

f wom

en w

ho h

ave

acce

ss to

cre

dit,

vis-

à-vi

s men

Perc

enta

ge-

--

Annu

aly

Perc

enta

ge o

f ava

ilabl

e cr

edit

and

finan

cial

and

te

chni

cal s

uppo

rt g

oing

to w

omen

/men

from

go

vern

men

t and

non

-gov

ernm

ent s

ourc

es

Perc

enta

ge-

--

Annu

aly


Land

a.

Indi

cato

rRe

fere

nce

valu

eDa

ta c

olle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Perc

enta

ge o

f pro

pert

y ow

ned

or a

cces

sible

by

wom

en/m

en (l

and,

liv

esto

ck) a

cros

s inc

ome

grou

ps

Perc

enta

ge-

--

Surv

eyAn

nual

ly

Perc

enta

ge o

f fem

ale/

mal

e he

aded

hou

seho

lds w

ithou

t lan

dPe

rcen

tage

--

-Su

rvey

Annu

ally

Aver

age

area

of a

gric

ultu

ral l

and

unde

r irr

igati

on (%

of t

otal

ag

ricul

tura

l lan

d) b

y se

x of

hou

seho

ld h

ead

Num

ber

--

-Re

port

sM

onth

ly

Arab

le la

nd (h

ecta

res p

er p

erso

n) b

y se

x of

hou

seho

ld h

ead

Num

ber

--

-Su

rvey

Annu

ally

Labo

r and

wag

esb.

Indi

cato

rRe

fere

nce

valu

eDa

ta c

olle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Perc

enta

ge o

f fem

ale/

mal

e la

bour

forc

e w

ho a

re u

npai

d fa

mily

w

orke

rs o

r are

wor

king

in th

e in

form

al se

ctor

(age

15

and

over

)Pe

rcen

tage

--

-Su

rvey

Ever

y 5

year

s

Sala

ry/w

age

diffe

renti

als o

f wom

en/m

en, b

y ca

tego

ry o

f wor

kers

Num

ber/

Perc

enta

ge-

--

Repo

rts

Mon

thly

Aver

age

wag

e fo

r agr

icul

tura

l lab

orer

s, b

y se

xPe

rcen

tage

--

-Re

port

sM

onth

ly

Perc

enta

ge o

f rur

al h

ouse

hold

s whe

re fe

mal

e/m

ale

head

is th

e m

ain

earn

erPe

rcen

tage

--

-Su

rvey

Ever

y 5

year

sRi

ght t

o m

ater

nity

leav

e/nu

mbe

r of w

eeks

/per

cent

age

of w

omen

w

ho a

vail

them

selv

es o

f rig

ht

Perc

enta

ge-

--

Repo

rts

Mon

thly


Qua

litati

ve in

dica

tors

1.2.

Indi

cato

r

Refe

renc

e va

lue

Data

co

llecti

onm

etho

d

Freq

uenc

y to

col

lect

Type

of d

ata

Tota

lM

ale

Fem

ale

Inci

denc

e of

par

t tim

e/fu

ll tim

e w

ork

of w

omen

and

men

Num

ber/

Perc

enta

ge

--

-Su

rvey

Ever

y 5

year

s

Chan

ges o

ver x

-yea

r per

iod

of p

roje

ct a

ctivi

ties i

n ho

useh

old

nutr

ition

di

sagg

rega

ted

by se

xN

umbe

r/Pe

rcen

tage

--

-Su

rvey

Annu

ally

Tabl

e14:

Nati

onal

key

indi

cato

rs w

ith b

asel

ine

Indi

cato

rRe

fere

nce

valu

eDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to c

olle

ctRe

spon

sibl

e of

dat

a co

llecti

onTy

pe o

f dat

aTo

tal

Mal

eFe

mal

ea.

Hum

an re

sour

ces a

nd c

apac

ity

build

ing

Staff

in a

gric

ultu

re in

stitu

tions

di

sagg

rega

ted

by se

xN

umbe

rAd

min

istra

tive

data

An

nual

lyM

INAG

RI

Perc

enta

ge

Rese

arch

ers i

n ag

ricul

ture

di

sagg

rega

ted

by se

x

Num

ber

Adm

inist

rativ

e da

ta

Qua

terly

MIN

AGRI

ISAE

, IN

ATEK

, IRS

T,

NU

R,N

GO’s

Perc

enta

geQ

uate

rly

Num

ber o

f vet

erin

ary

tech

nici

ans

(by

sex)

at s

ecto

r lev

el (R

IMS:

Re

sult

indi

cato

r Man

agem

ent

Syst

em:)

Num

ber

Adm

inist

rativ

e da

ta

Qua

terly

MIN

ALO

CM

INAG

RI

Perc

enta

ge


Indi

cato

rRe

fere

nce

valu

eDa

ta c

olle

ction

m

etho

dFr

eque

ncy

to c

olle

ctRe

spon

sibl

e of

dat

a co

llecti

onTy

pe o

f dat

aTo

tal

Mal

eFe

mal

ea.

Hum

an re

sour

ces a

nd c

apac

ity

build

ing

Prop

ortio

n of

per

sons

trai

ned

inse

min

ator

s disa

ggre

gate

d by

sex

Num

ber

Adm

inist

rativ

e da

ta

Annu

ally

MIN

AGRI

/RAB

Perc

enta

ge

Num

ber o

f far

mer

s (by

sex)

tr

aine

d in

agr

ibus

ines

s)

Num

ber

Adm

inist

rativ

e da

ta

Qua

terly

MIN

AGRI

Perc

enta

geN

umbe

r and

per

cent

age

of

farm

ers (

by se

x) a

dopti

ng

new

tech

nolo

gies

(ser

icul

ture

, aq

uacu

lture

, irr

igati

on, p

ost

harv

est,h

ortic

ultu

re,o

rg m

anur

e pr

oduc

tion)

Num

ber

Adm

inist

rativ

e da

ta

Annu

ally

MIN

AGRI

Perc

enta

ge

Num

ber o

f far

mer

s tra

iner

s (by

sex)

in

farm

er fi

eld

scho

ol m

etho

dolo

gy

Num

ber

Adm

inist

rativ

e da

ta

Qua

terly

MIN

AGRI

Perc

enta

ge

Num

ber o

f lea

der f

arm

ers t

rain

ed

(by

sex)

Num

ber

Adm

inist

rativ

e da

ta

Mon

thly

MIN

AGRI

Perc

enta

ge

Num

ber o

f far

mer

s in

parti

cipa

tory

re

sear

ch tr

ials,

by

sex

Num

ber

Adm

inist

rativ

e da

ta

Qua

terly

MIN

AGRI

,Re

sear

ch in

stitu

tions

Perc

enta

geQ

uate

rly

Num

ber o

f far

mer

s (by

sex)

trai

ned

in a

gric

ultu

ral i

nput

use

N

umbe

rAd

min

istra

tive

data

Q

uate

rlyM

INAG

RIM

INAL

OC

Perc

enta

ge


b

.Fina

ncia

l acti

vitie

s

Indi

cato

r

Refe

renc

e va

lue

Data

sour

ceDa

ta c

olle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Num

ber a

nd p

erce

ntag

e o

f RIF

2 be

nefic

iarie

s disa

ggre

gate

d by

sex

Num

ber

Adm

inist

rativ

e da

ta

Qua

rter

lyM

INAG

RIBD

FPe

rcen

tage

Agric

ultu

ral c

redi

t disa

ggre

gate

d by

sex

of

bene

ficia

ries

Num

ber

Adm

inist

rativ

e da

ta

MIN

AGRI

Perc

enta

ge

Perc

enta

ge

c.Ca

sh c

rops

and

land

Indi

cato

r

Refe

renc

e va

lue

Data

sour

ceDa

ta c

olle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Num

ber o

f men

and

wom

en in

coo

pera

tives

ow

ning

Coff

ee w

ashi

ng st

ation

s

Num

ber

Adm

inist

rativ

e da

ta

Annu

ally

MIN

AGRI

NAE

BPe

rcen

tage

Num

ber c

offee

farm

ers d

isagg

rega

ted

by se

xN

umbe

rAd

min

istra

tive

data

An

nual

lyM

INAG

RIN

AEB

Perc

enta

ge

Num

ber o

f tea

farm

ers d

isagg

rega

ted

by se

xN

umbe

rAd

min

istra

tive

data

An

nual

lyM

INAG

RI

Perc

enta

ge

d.Li

vest

ock


Hous

ehol

d be

nefiti

ng u

nder

the

prog

ram

me

“one

cow

one

fam

ily”

by se

x of

hou

seho

ld

head

Num

ber

1150

52Ad

min

istra

tive

data

Q

uate

rlyM

INAG

RI/R

ABPe

rcen

tage

100%

Num

ber o

f hou

seho

lds (

by se

x of

Hea

d of

Hou

seho

lds)

ben

efitin

g fr

om sm

all

rum

inan

ts d

istrib

ution

acti

vitie

s (in

clud

ing

thro

ugh

pass

on

mec

hani

sm)

Num

ber

Adm

inist

rativ

e da

ta

Qua

rtel

ly

MIN

AGRI

/RAB

Perc

enta

ge

e.Co

oper

ative

s

Indi

cato

r

Refe

renc

e va

lue

Data

sour

ceDa

ta c

olle

ction

met

hod

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Num

ber a

nd p

erce

ntag

e of

farm

ers (

by se

x)

who

are

mem

bers

of f

arm

ers’

Coo

pera

tives

pe

r cro

p/liv

esto

ck ty

pe

Num

ber

Adm

inist

rativ

e da

ta

Mon

thly

RCA

Perc

enta

ge

f.env

ironm

ent

Prop

ortio

n of

men

and

wom

en in

soil

cons

erva

tion

com

ittee

s

Num

ber

Surv

eyAn

nual

lyPe

rcen

tage

MIN

AGRI

MIN

ALO

C

Num

bers

of m

en a

nd w

omen

par

ticip

ating

in

soil

cons

erva

tion

wor

k

Num

ber

Adm

inist

rativ

e da

ta

Annu

ally

Perc

enta

geM

INAG

RI,

MIN

ALO

C

Num

ber o

f far

mer

s mem

bers

of w

ater

use

As

soci

ation

s (W

UA) b

y se

xN

umbe

r Ad

min

istra

tive

data

An

nual

lyPe

rcen

tage

MIN

AGRI


Agrib

usin

ess

j.

Indi

cato

r

Refe

renc

e va

lue

Data

so

urce

Data

co

llecti

onm

etho

d

Freq

uenc

y to

col

lect

Type

of

data

Tota

lM

ale

Fem

ale

Num

ber o

f wom

en a

nd m

en p

artic

ipati

ng in

impr

oved

pos

t ha

rves

t tec

hnol

ogie

s (St

orag

e in

coc

oons

)

Num

ber

Repo

rts

Mon

thly

Perc

enta

ge

Cold

cha

ins w

ith c

apac

ity o

f ton

es b

y se

x of

ow

ners

N

umbe

r Su

rvey

Annu

ally

Perc

enta

ge

Num

ber o

f agr

o de

aler

s by

sex

of e

ffecti

vely

ow

ners

Num

ber

Repo

rts

Mon

thly

Perc

enta

ge

Perc

enta

ge o

f agr

opro

cess

ing

SMEs

by

sex

of o

wne

rPe

rcen

tage


Key

Nati

onal

qua

ntita

tive

indi

cato

rs w

ithou

t bas

elin

e2.

Indi

cato

rRe

fere

nce

valu

eDa

taso

urce

Data

col

lecti

onm

etho

dFr

eque

ncy

to c

olle

ctRe

spon

sibl

e of

da

ta c

olle

ction

Type

of

data

Tota

lM

ale

Fem

ale

Staff

and

Cap

acity

bui

ldin

g 1.

Num

ber o

f far

mer

s (by

sex)

trai

ned

in

agric

ultu

ral i

nput

use

N

umbe

rM

INAG

RISu

rvey

Annu

ally

MIN

AGRI

Num

ber o

f far

mer

s (by

sex)

tr

aine

d in

ag

ribus

ines

s)N

umbe

rM

INAG

RIRe

port

sQ

uate

rlyM

INAG

RI

Land

and

Cro

ps2.

Pe

rson

s who

hav

e re

ceiv

ed la

nd ti

tles

unde

r lan

d re

form

sche

mes

disa

ggre

gate

d by

sex

Num

ber

MIN

ELA

Repo

rts

Annu

ally

MIN

ELA

Live

stoc

k 3.

Hone

y fa

rmer

s hou

seho

ld b

y se

x of

ho

useh

old

head

Num

ber

MIN

AGRI

Surv

eyAn

nual

lyM

INAG

RI

Num

ber o

f hou

seho

lds c

hick

en p

rodu

cers

by

sex

of H

Head

Num

ber

Coop

erati

ves

and

serv

ice

satis

facti

on4.

Num

ber o

f ext

ensio

nist

s di

sagg

rega

ted

by se

xN

umbe

rM

INAG

RIRe

port

sQ

uart

ely

MIN

AGRI

MIN

ALO

C

Heal

th a

nd E

nviro

nmen

t5.

Prop

ortio

n of

hou

seho

ld b

elow

min

imum

fo

od re

quire

men

ts b

y se

x of

hou

seho

ld

head

N

umbe

rN

ISR

Surv

eyEv

ery

5 ye

ars

NIS

RM

INIS

ANTE


Indi

cato

rRe

fere

nce

valu

eDa

taso

urce

Data

col

lecti

onm

etho

dFr

eque

ncy

to c

olle

ctRe

spon

sibl

e of

da

ta c

olle

ction

Type

of

data

Tota

lM

ale

Fem

ale

Hous

ehol

d pl

antin

g 30

tree

s ann

ually

by

sex

of h

ouse

hold

hea

d N

umbe

rM

INEL

ASu

rvey

Annu

ally

MIN

ELA

Hous

ehol

d ha

ving

a c

ompo

ster

by

sex

of

hous

ehol

d he

ad

Num

ber

NIS

RSu

rvey

Ever

y 5

year

sRE

MA

MIN

AGRI

Agri-

busi

ness

6.

Num

ber o

f agr

icul

ture

spec

ialis

t in

BDC

disa

ggre

gate

d by

gen

der

Num

ber

PSF/

RDB

Repo

rts

Qua

terly

PSF/

RDB

Num

ber a

nd p

erce

ntag

e of

exp

orte

rs o

f ho

rticu

lture

pro

duct

s by

sex

Num

ber/

%N

AEB

Repo

rts

Qua

rtel

yN

AEB,

RRA

Num

ber o

f agr

o de

aler

s by

sex

of

effec

tivel

y ow

ners

Num

ber

MIN

AGRI

Repo

rts

Qua

terly

MIN

AGRI

Qua

litati

ve in

dica

tors

1.2.

Key

qual

itativ

e in

dica

tors

with

out b

asel

ine

Indi

cato

rRe

fere

nce

valu

eDa

taso

urce

Data

co

llecti

onm

etho

d

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

Inte

rnati

onal

indi

cato

rsIn

cide

nce

of p

art ti

me/

full

time

wor

k of

w

omen

and

men

Num

ber/

Perc

enta

geN

ISR

Surv

eyEv

ery

5 ye

ars

MIF

OTR

A N

ISR

Chan

ges o

ver x

-yea

r per

iod

in h

ouse

hold

nu

triti

on d

isagg

rega

ted

by se

xN

umbe

r/Pe

rcen

tage

NIS

REv

ery

2 ye

ars

NIS

R

Nati

onal

indi

cato

rCh

ange

in w

ellfa

re to

men

and

wom

en

due

to “o

ne c

ow o

ne fa

mily

” p

rogr

amm

e N

umbe

rM

INAL

OC

Surv

eyAn

nual

lyM

INAG

RIM

INAL

OC


Conclusion

According to the results from this part of the study on gender indicators in Agriculture, it is true that production of related data is still poor. This applies also for the disaggregation of existing data.

In order to satisfy the need of monitoring results of various actions of the gender strategy in agriculture, it is recommended that GMO undertakes, in collaboration with NISR, a campaign for raising awareness among producers of statistics to collect data disaggregated by sex on a regular basis.


GENDER INDICATORS IN pRIVATE SECTOR



CHAPTER III. Gender indicators and Baseline in Private Sector

3.1. Introduction

Private sector development is a key engine for economic growth and crucial to reducing poverty. Women and girls make up to three-fifths of the world’s one billion poorest people. Promoting equal participation of women and men in the labour force, especially for women who seem to be among the poorest people, constitutes a critical potential tool for reducing poverty and increasing poor’s income and therefore ensures economic growth of the whole country.

In fact, private firms, from farmers and micro-entrepreneurs to local manufacturing and multinational enterprises, are at the centre of the development process by providing more jobs than the public sector, by creating opportunities for people to apply their skills. This enhances people improving their living conditions and be the main source of tax revenues and contributing to public funding for transport, education, health and other services.

The gender sensitive indicators and baseline developed by GMO has revealed that disaggregation of data by sex are not available in some institutions. Each public, private and CSO, from central to decentralized level should conduct a situational analysis and generate sex disaggregated data in their areas of focus. An analysis of baseline data establishes whether there is any difference between men and women’s access to resources and opportunities that promote gender equality. In this regards, public and CSOs have to put more effort in collecting data and disaggregate them by sex in order to help in achieving gender mainstreaming goal.


To realize its mandate, the Gender Monitoring Office has developed a dissemination campaign of the gender specific indicators for three sectors both qualitative and quantitative, and an inbuilt review system. The three are namely Agriculture, Governance and Private sector.

In order to reach the goal of assuring gender mainstreaming in all development activities, GMO thinks that the starting point is to set up mechanisms that will guarantee proper data collection and analysis methods in gender sensitive way for effective monitoring and evaluation of different interventions as well as planning processes. To accomplish this task, GMO would like to start a dissemination campaign of finding results in all institutions (public and private sector) and will also avail gender indicators for each of the three sectors.


3.1

. Pre

sent

atio

n of

gen

der

indi

cato

rs in

Pri

vate

sect

or

3.1.

1. Q

uanti

tativ

e in

dica

tors

Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

INTE

RNAT

ION

AL IN

DICA

TORS

Num

ber a

nd p

erce

ntag

e of

pr

ivat

e in

vest

ors i

n en

ergy

by

gend

er

a) H

ydro

Num

ber

MIN

INFR

AAd

min

istra

tive

data

Mon

thly

MIN

INFR

A,

RDB

Perc

enta

ge

b) S

olar

Num

ber

RDB

Adm

inist

rativ

e da

taM

onth

lyM

ININ

FRA,

RD

BPe

rcen

tage

c) B

ioga

sN

umbe

rM

ININ

FRA-

NDB

PAd

min

istra

tive

data

Mon

thly

MIN

INFR

A,

RDB

Perc

enta

ge

Num

ber a

nd p

erce

ntag

e of

in

vest

ors i

n te

leco

ms b

y ge

nder

Num

ber1

RDB

Adm

inist

rativ

e da

taM

onth

lyM

ININ

FRA,

RD

BPe

rcen

tage

Num

ber a

nd p

erce

ntag

e of

in

vest

ors i

n w

ater

and

sani

tatio

n by

gen

der

Num

ber

MIN

INFR

AAd

min

istra

tive

data

Mon

thly

MIN

INFR

A,

RDB

Perc

enta

ge

Num

ber a

nd p

erce

ntag

e of

in

vest

ors i

n tr

ansp

ort b

y ge

nder

Num

ber

RURA

, RTD

AAd

min

istra

tive

data

Mon

thly

RURA

, RTD

APe

rcen

tage


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

Num

ber a

nd p

erce

ntag

e of

new

bu

sines

ses r

egist

ered

by

gend

er

of o

wne

rs (s

ince

June

201

0)

Num

ber

RDB-

ORG

Adm

inist

rativ

e da

taDa

ilyRD

B-O

RGPe

rcen

tage

Perc

enta

ge o

f adu

lt em

ploy

men

t th

at is

par

t-tim

e by

gen

der

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF

Perc

enta

ge

Wom

en’s

shar

e of

par

t-tim

e em

ploy

men

t

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF

Perc

enta

ge

Perc

enta

ge o

f em

ploy

ees b

y ge

nder

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF,

NIS

R

Perc

enta

geW

omen

’s w

ages

in

man

ufac

turin

g as

a p

erce

ntag

e of

men

’s w

ages

Num

ber

MIF

OTR

AAd

min

istra

tive

data

Law

MIF

OTR

A

Perc

enta

ge

Leng

th o

f mat

erni

ty le

ave

Num

ber

MIF

OTR

AAd

min

istra

tive

data

Law

MIF

OTR

A

Perc

enta

ge

Perc

enta

ge o

f wag

es p

aid

in

mat

erni

ty le

ave

cove

red

perio

dN

umbe

rM

IFO

TRA

Adm

inist

rativ

e da

taLa

wM

IFO

TRA

Perc

enta

geN

ATIO

NAL

INDI

CATO

RSN

umbe

r and

per

cent

age

of

clie

nts b

y ge

nder

of o

wne

rs

acce

ssin

g fu

nds f

rom

regi

ster

ed

Mic

ro-fi

nanc

e


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

a) U

MW

ALIM

U S

ACCO

N

umbe

rU

MW

ALIM

U

SACC

OAd

min

istra

tive

data

Mon

thly

UM

WAL

IMU

SA

CCO

Perc

enta

ge

b) IM

F U

NGU

KA sa

Num

ber

IMF-

UN

GUKA

Adm

inist

rativ

e da

taM

onth

lyIM

F-U

NGU

KA

Perc

enta

ge

c) C

OO

PEDU

Num

ber

COO

PEDU

Adm

inist

rativ

e da

taAn

nual

ly

repo

rtCO

OPE

DU

Perc

enta

ge

d) A

MAS

EZER

ANO

CO

MM

UN

ITY

BAN

KIN

GN

umbe

rAM

ASEZ

ERAN

O

Com

mun

ity

Bank

ing

Adm

inist

rativ

e da

taAn

nual

ly

repo

rtAM

ASEZ

ERAN

O

Perc

enta

ge

e) G

OSH

EN F

inan

ce sa

Num

ber

GOSH

ENAd

min

istra

tive

data

Annu

ally

re

port

GOSH

EN

Perc

enta

ge

f) AL

-HAA

LAL

saN

umbe

rAL

-HAL

AAL

saAd

min

istra

tive

data

Annu

ally

re

port

AL-H

ALAA

L sa

Perc

enta

ge

g) S

WO

FT sa

Num

ber

SWO

FT sa

Adm

inist

rativ

e da

taAn

nual

ly

repo

rtSW

OFT

sa

Perc

enta

ge

h) IN

KIN

GIN

umbe

rIN

KIN

GIAd

min

istra

tive

data

Annu

ally

re

port

INKI

NGI

Perc

enta

ge


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

i) RI

M (R

ésea

u In

terd

iocé

sain

de

Mic

ro-fi

nanc

e)

Num

ber

RIM

Adm

inist

rativ

e da

taAn

nual

ly

repo

rtRI

MPe

rcen

tage

Num

ber a

nd p

erce

ntag

e of

wom

en a

nd m

en in

new

co

oper

ative

s (sin

ce 2

010)

Num

ber

RCA

Adm

inist

rativ

e da

taM

onth

lyRC

A

Perc

enta

geN

umbe

r and

per

cent

age

of

SMEs

and

coo

pera

tives

by

gend

er o

f ow

ners

a) M

icro

Ent

erpr

ises

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF,

RDB

Perc

enta

ge

b) S

mal

l Ent

erpr

ises

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF,

RDB

Perc

enta

ge

c) M

ediu

m E

nter

prise

sN

umbe

rPS

F ce

nsus

re

port

, 200

8Ce

nsus

/Sur

vey

Ever

y 5

year

sPS

F, RD

B

Perc

enta

ge

d) L

arge

Ent

erpr

ises

Num

ber

PSF

cens

us

repo

rt, 2

008

Cens

us/S

urve

yEv

ery

5 ye

ars

PSF,

RDB

Perc

enta

ge

e) C

oope

rativ

esN

umbe

rRC

AM

onth

lyRC

A

Perc

enta

geN

umbe

r and

per

cent

age

of

priv

ate

com

pani

es b

y ge

nder

of

owne

rs o

pera

tiona

l


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

a) in

agr

icul

ture

Num

ber

RDB-

ORG

Adm

inist

rativ

e da

taM

onth

lyRD

B-O

RG

Perc

enta

geb)

in m

inin

g N

umbe

rO

GMR

Adm

inist

rativ

e da

taM

onth

lyO

GMR

Perc

enta

ge

c) in

coff

ee

Num

ber

Rwan

da

Coffe

e Au

thor

ity

Adm

inist

rativ

e da

taM

onth

lyRw

anda

Coff

ee

Auth

ority

Perc

enta

ge

d) in

tea

Num

ber

Rwan

da Te

a Au

thor

ityAd

min

istra

tive

data

Mon

thly

Rwan

da Te

a Au

thor

ityPe

rcen

tage

e) in

tour

ism (a

ccom

mod

ation

) N

umbe

rRD

G-To

urism

Adm

inist

rativ

e da

taM

onth

lyRD

G-To

urism

Perc

enta

gef)

in to

urism

(to

ur o

pera

tors

) N

umbe

rRD

G-To

urism

Adm

inist

rativ

e da

taM

onth

lyRD

G-To

urism

Perc

enta

ge

g) in

man

ufac

turin

g N

umbe

rRD

B-O

RGAd

min

istra

tive

data

Daily

RDB-

ORG

Perc

enta

geN

umbe

r and

per

cent

age

of

busin

ess r

egist

ered

with

RDB

by

gen

der

Num

ber

RDB-

ORG

Adm

inist

rativ

e da

taDa

ilyRD

B-O

RG

Perc

enta

geN

umbe

r and

per

cent

age

of v

isito

rs to

BDS

(Bus

ines

s De

velo

pmen

t Ser

vice

s) b

y ge

nder

Num

ber

RDB-

BDS

Adm

inist

rativ

e da

taM

onth

lyRD

B-BD

S

Perc

enta

geN

umbe

r and

per

cent

age

of

imm

igra

nt w

ork

visa

s iss

ued

for

skill

shor

tage

are

as b

y ge

nder

Num

ber

Imm

igra

tion

& M

igra

tion

Adm

inist

rativ

e da

taDa

ilyIm

mig

ratio

n &

M

igra

tion

Perc

enta

ge


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

co

llecti

on

met

hod

Freq

uenc

y to

col

lect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

Lite

racy

rate

of p

eopl

e ag

es 1

5 an

d ab

ove

by g

ende

rN

umbe

rEI

CV-3

, Ce

nsus

Cens

us/S

urve

yEv

ery

5 ye

ars

NIS

R

Perc

enta

geHi

ghes

t lev

el o

f edu

catio

n co

mpl

eted

by

gend

er o

f em

ploy

ees i

n m

anuf

actu

ring

sect

or:

- Prim

ary,

- Sec

onda

ry/T

echn

ical

, - T

ertia

ry

Num

ber

PSF

Cens

us/S

urve

yCe

nsus

re

port

PSF

Perc

enta

ge

Tabl

e 34

: Key

Gen

der I

ndic

ator

s in

Priv

ate

Sect

or w

ithou

t Bas

elin

e

Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

col

lecti

on

met

hod

Freq

uenc

y to

co

llect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

INTE

RNAT

ION

AL IN

DICA

TORS

Perc

enta

ge o

f firm

s with

ISO

ce

rtific

ation

ow

ners

hip

by g

ende

rN

umbe

rPS

F-

Perc

enta

ge

Econ

omic

acti

vity

rate

of p

eopl

e ag

ed

15 a

nd a

bove

by

gend

erN

umbe

rEI

CV-3

Ever

y 5

year

s

Perc

enta

ge


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

col

lecti

on

met

hod

Freq

uenc

y to

co

llect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

Shar

e of

wom

en in

adu

lt la

bour

forc

e (a

ged

15 a

nd a

bove

)N

umbe

rEI

CV-3

Ever

y 5

year

s

Perc

enta

ge

Perc

enta

ge o

f em

ploy

ers b

y ge

nder

Num

ber

2011

Es

tabl

ishm

ent

Cens

usEv

ery

5 ye

ars

Perc

enta

ge

Perc

enta

ge o

f ow

n-ac

coun

t wor

kers

by

gen

der

Num

ber

2011

Es

tabl

ishm

ent

Cens

usEv

ery

5 ye

ars

Perc

enta

ge

Perc

enta

ge o

f con

trib

uting

fam

ily

wor

kers

by

gend

erN

umbe

rEI

CV-3

Ever

y 5

year

s

Perc

enta

gePe

rcen

tage

of m

anag

ers b

y ge

nder

in:

Agric

ultu

rea)

M

inin

gb)

Co

ffee

c)

Tea

d)

Tour

isme)

M

anuf

actu

ring

f)

Num

ber

2011

Es

tabl

ishm

ent

Cens

usEv

ery

5 ye

ars

Perc

enta

ge

Une

mpl

oym

ent r

ate

by g

ende

r

Num

ber

Gene

ral

Popu

latio

n an

d Ho

usin

g Ce

nsus

Cens

usEv

ery

10 y

ears

NIS

RPe

rcen

tage


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

col

lecti

on

met

hod

Freq

uenc

y to

co

llect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

NAT

ION

AL IN

DICA

TORS

Num

ber a

nd p

erce

ntag

e of

firm

s ci

ting

finan

ce a

s ”m

ajor

” or

“sev

ere”

co

nstr

aint

redu

ced:

- L

arge

,- S

mal

l

Num

ber

PSF

Surv

eyPe

rcen

tage

Num

ber a

nd p

erce

ntag

e of

firm

s by

gend

er o

f ow

ners

ratin

g el

ectr

icity

as

a “m

ajor

” or

“sev

ere”

con

stra

int t

o gr

owth

Num

ber

MIN

INFR

ASu

rvey

Perc

enta

geN

umbe

r and

per

cent

age

of

firm

s by

gend

er o

f ow

ners

ratin

g co

mm

unic

ation

as a

“m

ajor

” or

“s

ever

e” c

onst

rain

t to

grow

th

Num

ber

MIN

INFR

ASu

rvey

Perc

enta

geN

umbe

r and

per

cent

age

of fi

rms

ratin

g w

ater

and

sani

tatio

n as

a

“maj

or”

or “s

ever

e” c

onst

rain

t to

grow

th

Num

ber

MIN

INFR

ASu

rvey

Perc

enta

geN

umbe

r and

per

cent

age

of fi

rms b

y ge

nder

of o

wne

rs ra

ting

tran

spor

t as

a “m

ajor

” or

“sev

ere”

con

stra

int t

o gr

owth

Num

ber

MIN

INFR

ASu

rvey

Perc

enta

geN

umbe

r and

per

cent

age

of p

rivat

e se

ctor

ent

erpr

ises b

y ge

nder

of

owne

rs w

hich

hav

e im

plem

ente

d em

ploy

men

t law

s for

gen

der b

y siz

e:- S

mal

l, - M

ediu

m,

- Lar

ge

Num

ber

PSF

Surv

eyPS

F, M

IFO

TRA

Perc

enta

ge


Indi

cato

rsRe

fere

nce

valu

eDa

ta so

urce

Data

col

lecti

on

met

hod

Freq

uenc

y to

co

llect

Resp

onsi

ble

of

data

col

lecti

onTy

pe o

f da

taTo

tal

Mal

eFe

mal

e

Num

ber a

nd p

erce

ntag

e of

regi

onal

/pr

ovin

cial

inve

stm

ent g

roup

s op

erati

onal

by

gend

er c

ompo

sition

: - M

ale,

- F

emal

e

Num

ber

RDB,

PSF

Adm

inist

rativ

e Su

rvey

RDB,

PSF

Perc

enta

ge

Perc

enta

ge o

f sta

ff (p

erm

anen

t w

orke

rs) t

rain

ed b

y ge

nder

and

job

cate

gory

: - A

gric

ultu

re,

- Min

ing,

- C

offee

, - T

ea,

- Tou

rism

, - M

anuf

actu

ring

Num

ber

2011

Es

tabl

ishm

ent

Cens

us

Cens

us,

Adm

inist

rativ

e da

taEv

ery

5 ye

ars

RDB,

PSF

Perc

enta

ge


Conclusion

These indicators were set as tool that will enhance gathering needed data for monitoring and evaluating the achievement of assigned objectives. However, the combined efforts of GMO and NISR will help raising awareness of responsible institution to collect sex disaggregated data, which would be a valuable monitoring and evaluation tool for gender advocates, policy makers, and other actors working on gender related issues.


REFERENCES

GMO, 1. Gender indicators and baseline development in four sectors: Governance, Agriculture, Infrastructure and Private Sector. July, 2011Beijing Declaration and Platform for Action, 1995.2. Convention on the Elimination of all Forms of Discrimination 3. against women (CEDAW), 1979.DANIDA, 4. Gender Equality in the Private sector, Ministry of Foreign Affairs of Denmark, 2008.Emily ESPLEN & Alyson BRODY, 5. Putting Gender Back in the Picture: Rethinking Women’s Economic Empowerment, Bridge Development Gender, 2007.Gender profile 2005-2007, 2008.6. Gender profile, 2004.7. MIGEPROF, 8. National Gender Policy, July 2010.Millennium Development Goals, 2000.9. MINAGRI, 10. Agriculture Gender Strategy, November 2010.MINAGRI, 11. Annual Report 2009/2010, August 2010.MINAGRI, 12. Evaluation d’impact des activités du PAPSTA, Rapport définitif, Janvier 2011.MINAGRI, 13. National Agricultural Extension Strategy.MINAGRI, 14. Strategic Plan for the Transformation of Agriculture in Rwanda – Phase II (PSTA II), February 2009.MINECOFIN, 15. Economic Development and Poverty Reduction Strategy 2008 – 2012 (EDPRS), 2007.MINECOFIN, 16. Vision 2020, November 2002.Ministry of Gender and Family Promotion, National Gender 17. Policy, 2010.


Ministry of Gender and Family Promotion, Strategic plan for 18. the implementation of the national gender policy Plan for the Implementation of the National Gender Policy, 2009. National Decentralisation Policy, 2000.19. National Gender Policy, 2010.20. NICI, Mid-term Evaluation of the Implementation of NICI 21. Plan, 2008. NISR, National Agricultural Survey 2008, February 2010.22. PSF, 23. EDPRS Private Sector Logical Framework, 2008.PSF, 24. Rwanda Business Operators Census Report, 2008.RURA, ICT Sector Performance, 2010. 25. Rwanda Economic Development and Poverty Reduction 26. Strategy (EDPRS), 2007;Rwanda Vision 2020, 2000.27. Rwandan National Constitution of June 2003 as amended to 28. date.The COMMONWEALTH SECRETARY, 29. Gender Mainstreaming in Agriculture and Rural Development, June 2001.

1 Investors in telecoms includes (1) Enterprises, (2) Domestic companies and (3) Telecom companies



Documents

“GENDER INDICATORS IN THREE SECTORS”