Wednesday, 29 October 2014

LORD RESISTANCE ARMY (LRA) AND HUMAN RIGHTS ABUSES IN NORTHERN UGANDA

In-depth: Life in northern Uganda

UGANDA: LRA Human Rights Abuses

Child abductees often suffer brutal treatment at the hands of LRA commanders
NAIROBI, 1 January 2004 (IRIN) - Children in the firing line

The list of LRA atrocities against the children of northern Uganda is endless. Since war broke out in 1986 the rebel group has routinely abducted children as young as seven, training them in southern Sudan and forcing them to fight on the front lines.

The LRA has targeted schools, churches and villages to abduct boys, whom it uses as soldiers, and girls, who are often used as sex slaves for LRA commanders. Over the years, as many as 25,000 northern Ugandan children are believed to have been abducted by the rebel group.

Abduction, torture, and murder

Some child abductees have managed to escape their captors and tell of the extreme hardships they endured in the bush. They tell horrendous tales of suffering and extreme cruelty at the hands of their abductors.

As part of initiation into the rebel movement, abducted children are forced into committing inhuman acts, including ritual killings and mutilations. They tell of how they were forced to club to death other children who were not 'properly cooperating' with the orders of rebel commanders.

Stella, a 10-year-old girl currently under rehabilitation and treatment at the Gulu Support the Children Organisation (GUSCO), is one example. After being abducted, she was forced to walk to the LRA rear base in southern Sudan. However, after falling behind the main group of abductees, part of her foot was cut off by a rebel commander to "teach her to walk properly." Luckily, she was found and rescued by the army.

"Some of the worst atrocities being committed against children are taking place in Uganda, and the international community is nowhere to be seen," a frustrated Baker Ochola, retired Bishop of Kitgum, told IRIN.

Abducted children also speak of a harsh and exhausting journey to Sudan, during which many die from hunger and exhaustion. Those who survive face even more inhuman conditions in training camps in Sudan, where many more die from starvation, disease, or injuries suffered in battle.

Thirteen-year-old Alfred Onen says he decided to escape after his two sisters and one brother, who were abducted with him on the same day, were killed in a heavy battle with Uganda People's Defence Force (UPDF) soldiers. "I have gone to battle many times. Initially, they put me on one of the lower brigades and then transferred me to 'control' - the same command where Kony is," Onen says.

"There was a time when the government was organising peace talks. So we organised, me and 11 others, to surrender. I had thought about leaving earlier, but Sudan was too far. When we came back to Uganda, we managed to escape," he explains.

Although some children like Onen have returned, many are still missing, feared dead. Gladys Acan, who was abducted in 2000 when she was only 11, tells of how she watched many children abducted with her die on the way to Sudan.

"On the way, some people were stabbed, others shot, but most were clubbed to death. They beat me constantly even without reason," she says. "One day there was a fierce fight between us and the UPDF. Only 15 of us were not injured. About 150 were injured and the rest were killed," Acan, who is currently under rehabilitation at GUSCO told IRIN.

Acan escaped after spending close to three years in captivity. She has no idea where her parents are or whether they are still alive, but hopes to find them and go back to school.

The string of LRA atrocities in northern Uganda does not, however, end with the children. Their parents, other relatives and the whole community are equally affected.

As recently as May 2001, there were reports of the LRA attacking homes and mutilating people, cutting off their fingers, lips, and ears as "punishment" for cooperating with the government.

Geoffrey, a 17-year-old secondary school student who had joined the Local Defence Unit (LDU), a pro-government militia group recruited to fight the LRA, is one example. His ears were cut off and wrapped in a letter found in his pocket as a warning to others. It read: "We shall do to you what we have done to him."

Due to fear of abductions, parents in affected areas are forced to send their children to the relative safety of the towns, where they stay overnight in hospitals, church compounds and even on shop verandahs.

But there is a price to pay for this. Parents are often beaten cruelly, and in some cases brutally murdered, when rebels fail to find children in their homes.

children live under constant threat of abduction
Northern Uganda's children live under constant threat of abduction by the LRA.
Credit: Sven Torfinn (2002)
Rehabilitation

It is in centres such as GUSCO and World Vision, both in Gulu, and KICHWA in Kitgum, that escaped abductees are rehabilitated.

But the rehabilitation of returning abductees is no easy task. As the US-based Human Rights Watch (HRW) organisation has pointed out, those who manage to escape the LRA are "scarred for life", forever re-living their brutal treatment, with girls facing the additional burden of often being infected with sexually transmitted diseases, including HIV/AIDS.

Unhygienic conditions in the bush and lack of food mean many children arrive at the rehabilitation centres with severe skin infections, such as scabies, and suffering from malnutrition. "What we see initially is their bad eating habits. They feel the food is not enough even after three plate-fulls, a sign of deprivation in the bush. We also see restlessness at night. They can hardly sleep, and they wake up very early. Restlessness is a sign of their alertness and militaristic behaviour," Dora says.

"We had a group of child mothers who had very weak children. By 0300 hrs, they started to talk. They told us that in the bush, they had to wake up early and start walking.

For Dora, what is more worrying is that abductees are not returning as had been expected when the UPDF launched its offensive against the LRA in Sudan in March 2002. "Where is the big group that was in Sudan when Operation Iron Fist was starting? The majority of children in rehabilitation are those who were abducted less than a year ago," she says. "We still believe there are still many children in captivity."

From 0700 hrs, anxious parents, seeking their abducted children, visit the rehabilitation centres. Joe Lakony, a trainee social worker at GUSCO explains, "There are so many children who are abducted daily. Their parents are desperate, so they come to find out."

Goreti Oyiela, an acting manager of the World Vision rehabilitation centre, says former abductees receive treatment and are taken through steps aimed at helping them talk about their suffering.

"We try to develop rapport with them because the children don't trust anybody after what happens to them. Even at the centre they don't feel secure for the fist few days," she explains. "There are some things that children are unable to talk about initially. They need closer attention and individual counselling before they can open up and talk about being raped or being forced to kill," she adds.

Those who are too traumatised to talk are encouraged to draw pictures about the extent of the atrocities they were forced to commit while in the bush. "Pictures also help us to find out exactly what happened," Oyiela says.

After months of rehabilitation, the former child abductees are ready to return to their homes, but this can only happen after their communities and families are ready to forgive them and accept them back into the community. "Some parents refuse to take back their children because they fear revenge from community members because of the atrocities they may have been forced to commit against their own family members," Oyiela says.

However, what most of the children fear most when returning home is not rejection by their family, but the ever-present threat of re-abduction.

Army methods

Some civil society groups have called into question the counter-insurgency tactics employed by the UPDF, saying children are being caught in the crossfire. The use of helicopter gunships, for example, has been criticised for being too blunt a tool against such an elusive enemy.

"Gunships have no eyes to differentiate between a rebel and an abducted child. So killing is indiscriminate," one social worker told IRIN.

"If the government pursues rebels and the rebels decide to kill the children what is the purpose? Each time you go to rescue abducted children, you don't know if you are going to be part of the killing."

UPDF spokesman Shaban Bantariza says the army is faced with a dilemma when it comes to protecting children from the LRA, who often use them as 'human shields' when being pursued. "This is part of our dilemma. We try to rescue the children. But we end up killing some of them," Bantariza says.

"When you are fighting a rebel group that degenerates into a terrorist group, you are not fighting an army. You are forced to take the war to the people. Our intention is to, as much as possible, rescue those who have been abducted. You can't fight a frontal combat," Bantariza said.

Links:

Office of the Special Representative of the Secretary-General for Children and Armed Conflict
Coalition to stop the use of child soldiers
Protection of civilians in armed conflict - children in war

Tuesday, 28 October 2014

MANY UGANDANS WOULD LOVE AMIN'S REMAINS RETURNED - WE SHALL IF ELECTED TO OFFICE OF PRESIDENT


PSALM 23 TO GUIDE KIWANUKA KITUUKA AS HE PREPARES TO CONTEST UGANDA PRESIDENCY IN 2016


KASASA DORMITORY GUTTED BY FIRE


UGANDANS 40 YEARS AND BELOW BUT OF VOTING AGE HAVE THE NUMBERS TO SEE MUSEVENI OUT OF OFFICE




I talk about 40 years now with the base year as 1974.  It is the year I entered St. Mary’s College Kisubi (SMC then, though now it is SMACK) as a Secondary one student.  That time some of the students who had excelled at PLE were getting bursaries from their home districts.  I am one such beneficiary who was getting shs 400 from Mubende district per year out of shs 650 we were paying per year at SMACK (without school uniform).  We were eating relatively well then.  We could have bans served at breakfast even break tea, have meat more than once a week and real variety, of course with Sugar which is a luxury now in Uganda!  Power cuts were rare at all and never called for installation of the generators we see today.  Every child could afford to join SMACK as long as he had the brains, and the parent had some little income.  It is important to note that even by 1974; things had started getting bad (the economy) following the expulsion of the Asians and the eventual invasion of the Museveni led forces from Tanzania.

The very bad politics we are witnessing today has a big contribution following the decision Museveni and his friends made to invade Uganda in 1972.  “Amin was preoccupied with the dissident groups that Obote had gathered in exile in Tanzania.  In late 1972, a small rebel force crossed the border with the apparent intention of capturing the army outpost at Masaka, but stopped short and instead waited in expectation of a popular uprising to overthrow Amin. The uprising did not materialize and the Obote-aligned force was expelled by the Malire Mechanical Regiment. The event prompted Amin to task the General Service Unit, later called the Special Research Bureau, and the newly formed Public Safety Unit with an intensified search for suspected subversives. Thousands of people were made to disappear.  Amin retaliated by further purging the army of Obote supporters, predominantly those from the Acholi and Lango ethnic groups.  Source: Military History of Uganda - http://en.wikipedia.org/wiki/Military_history_of_Uganda

A detailed account of what transpired can be read from the article: “Remembering the aborted 1972 invasion by Ugandan exiles,” by Augustine Ruzindana in The Monitor of Friday, September 19, 2014.

Following the aborted invasion of Uganda, President Idi Amin (RIP) changed his colours, he started eliminating anybody suspected to be involved with the rebels.  Meanwhile the economy deteriorated on.


Focusing on how things are today, we are convinced that people who have seen only the bad side of Uganda are a substantial figure given the statistics as reported below:

Uganda age structure

Age structure: 0-14 years: 48.7% (male 8,714,354/female 8,765,900)
15-24 years: 21.2% (male 3,775,679/female 3,833,574)
25-54 years: 25.7% (male 4,618,088/female 4,615,616)
55-64 years: 2.4% (male 405,740/female 447,118)
65 years and over: 2.1% (male 327,771/female 415,075) (2014 est.)

The 2011 UDHS reported that nearly 78% of Uganda’s population is youthful and this presents a challenge in terms of high dependency and high consumption yet with low productivity.  Currently about 6.5 million (21.3%) Ugandans are between 18 – 30 years. The number of young people in Uganda is projected to grow to 7.7 million by 2015. Most of Uganda’s young population aspires for various forms of services in terms of education, employment and family formation. This is the challenge for the country to address immediately.  Uganda has the world’s youngest population with over 78 percent of its population below the age of 30. With about 8 million youth aged between15 - 30, the country also has one of the highest youth unemployment rates in Sub - Saharan Africa. Although Uganda is making strides economically, it faces significant challenges in meeting its young people’s needs today and their challenges tomorrow as its population continues to grow at a rate of 3.2% annually.

Source: The State of Uganda’s Population, 2013


Surely, may be because of ignorance, but a number of youth and those below 40 years have read to some level, what do they get from such reading?  You see them long to be provided with free things instead of sitting down and they get composed on how they can use their figures to see the regime out of office.  While praises are sung by the youth, meanwhile their friends are committing suicide, yet also many youth are looking for money to go out of Uganda for work.  Many have joined the Born – Again Churches to see miracles happen so that they get visas to wherever they wish to go.  Yet the youth forget that they have the key to who can be in Statehouse, but they are simply a disorganized lot.  They find it easy to go to the city with posters requesting for work, yet they would spend such energy discovering how they can mobilize to vote out the cause of the poor resource allocation that is greatly responsible for the mess.  When they are called for free money, you find them shamelessly knelling before the provider!  What irony?


With determination, even when the electoral laws are not changed, President Museveni can be voted out through the ballot.  The intimidation really does not make a mature person fail to go and cast his/her vote later on follow up to the closure of the exercise and witness the vote counting as well as the signing of the declaration forms.  How far can the NRM rig when people decide to be responsible enough?  Can a man however much he may be used to cheating change all those results when there is proof of what actually transpired?  Ugandans should know that time is out for people who do things as if there was no other force to counter them.  Decide once to vote out the big man and he will go and a new era shall be ushered in.  For how long shall we be intimidated that President Museveni has an army?  Who pays for the army?  Is it not the tax payer?  What did professionalism mean to those in the army?  Is it that they are at liberty to destabilize our peace so that looting the country’s resources goes on endlessly?  You know, that is why I want to reward teachers better if I get a chance to get to Statehouse.  They seem to be part of the problem in that they are failing to teach students life skills and these end up blown by air.

Youth are committing suicide as their friends sale air to them (the likes of Nakabale).  Workers House suicide woman was job-frustrated.  The young woman who plunged to her horrific end from the Workers House building Friday morning was frustrated by futile job applications, her family has revealed. 

Justine Nalugya, aged 26 was a 2007-graduate of Makerere University and spent her final five years (after leaving university) looking for employment, but with no success. There is impression that her frustration must have had the better of her and she decided to end her own life.  Her relatives suspect she was ‘disgusted with life’, which might have inspired her desperate suicide mission. 
Nalugya dipped to her demise from the 14th floor of one of Kampala’s tallest buildings at about 11.15am and died instantly. Gloom instantly engulfed the area with workers and visitors within the building helplessly looking on as Nalugya’s lifeless body lay on the floor, head, torso and brain shattered.


Woman falls to her death at Workers House - A woman has died after falling from 14th Floor of Workers House in Kampala.   Business at Workers’ House was suspended for several hours this morning following the death of a woman who reportedly jumped to her death. The police cordoned off the building for over 7 hours investigating what could have led to Annet Ashaba’s fall from the 14th floor of the building.  According to police spokesperson, Fred Enanga, the young woman apparently committed suicide after she returned from Dubai to find that the savings she had been sending home had been squandered by her relatives.

Experts warn that the frustration of the youth can contribute to militancy, impatience and risk-taking, since they can be easily exploited by people with sinister motives.  “The Government needs to find solutions for the youthful majority of growing larger, poorer, more discontent and occasionally, more militant,” the report further recommends.

I witnessed the suffering of the people of Uganda in the 1979 war.  I was at Kajjansi and together with people from as far as Kibuye went to Nakawuka before Kampala fell.  I was at Jinja when Lutwa overthrew Obote II (RIP) and shortly after, Museveni captured power.  In all these, much property and people’s lives were lost.  The youth of Uganda need to get to their senses and get to scheme for a change that will get this country back on course.  The crocodile tears cannot help any more, and Museveni may never have all the cash that can gainfully have the youth employed given his other agendas that are cleaning the treasury like the military adventures in South Sudan to mention one.


Monday, 27 October 2014

Remembering the aborted 1972 invasion by Ugandan exiles

Source: http://www.monitor.co.ug/OpEd/OpEdColumnists/AugustineRuzindana/Remembering-the-aborted-1972-invasion-by-Ugandan-exiles/-/887296/2457196/-/item/1/-/xtex6rz/-/index.html

By Augustine Ruzindana 

Posted  Friday, September 19  2014 

In Summary
We landed safely in Minziro on the Tanzanian side from where we proceeded to the Fronasa training camp near Bukoba Town, arriving on September 15.
 

As I write, it is September 17, 2014, which reminds me of the same day 42 years ago, when Ugandan exiles invaded from Tanzania.

 A few days before the invasion, I traveled from Kampala with two Makerere students through Masaka, Kalisizo, Kyotera, branching off to Katera where we found a military check-point at a narrow breach of the escarpment just before sloping down to the Lake Victoria shore where we boarded a canoe.

While on the lake and before we crossed the Kagera River, which visibly crosses the lake with a strong current, the boat’s engine ceased to function but luckily, we were skillfully rowed across the river and the lake.

We landed safely in Minziro on the Tanzanian side from where we proceeded to the Fronasa training camp near Bukoba Town, arriving on September 15.

Mr Yoweri Museveni, our commander, (now President), informed me about the impeding invasion and that we were going along with the Obote forces and take advantage to move our materiel (arms and ammunition) into the country.

On September 17, we (a Fronasa platoon) set off very early with the Obote forces for Uganda. Our force was in one lorry and we had a Land Rover full of arms and ammunition.
Our platoon was divided into two sections; one section commanded by Mwesigwa Black with Bagira as his second-in-command and the other section commanded by Museveni, also our over-all commander, with me as his second-in-command.

The Obote forces on the Mbarara axis were about 300, commanded by Captain Oyile and the over-all commander of the axis.

We branched off after Kyaka bridge and headed towards Isingiro and Mbarara, by-passing a Tanzanian sugar plantation and a government ranch. We were supposed to have surprised the Amin forces in Mbarara but the convoy was slow and at day-break, more time was wasted attacking a tse-tse fly camp at the border that was eventually set on fire.

Some months before that invasion, Museveni and I had passed by that road transporting our material on new bicycles which were so hastily assembled that when we peddled, the peddles fell off and we ended up pushing the bicycles up to our rendezvous with Zubairi Bakari at Nshungyenzi.
We slowly proceeded towards Mbarara uneventfully until we were passed by a speeding Peugeot driven by Ali Fadhul, the then commanding officer of the battalion based at Mbarara.
A few miles later in Masha around where, in 1899, Henry Stanley (Kakira Mukyenkye) met Bucunku, the Omugabe’s envoy, now marked by a conical monument, we met a lorry full of soldiers, probably following their commanding officer. As we fired at them, some of our comrades ran away, including the driver of our lorry.

After this brief encounter, we set off driven by Museveni and on reaching the junction at Nyamitanga, he could not turn the lorry towards Mbarara so another driver turned it and we proceeded on our mission. Just after we had passed Agip Motel, we met and fired at a Land Rover full of Amin’s soldiers and only one soldier escaped and ran towards Kijungu suburb.
At the forest before the barracks, we were fired at by 106 guns and a shrapnel piece passed over my neck. It is here that most of us dispersed before reaching the barracks.

After some time, I walked with an Obote soldier for more than 10 kilometres to a village beyond Biharwe where I stayed for three days and took a taxi to Kampala and then to Dar es Salaam.
Museveni drove back to Tanzania but some of our comrades who went to relatives’ or friends’ homes in Mbarara Town were later picked up and killed.

Mr Ruzindana is a former IGG and former MP. a_ruzindana@yahoo.com

STATISTICS ON UGANDA BY UNICEF

Basic Indicators
to the top  
Under-5 mortality rank
39
Under-5 mortality rate (U5MR), 1990
178
Under-5 mortality rate (U5MR), 2012
69
U5MR by sex 2012, male
75
U5MR by sex 2012, female
62
Infant mortality rate (under 1), 1990
107
Infant mortality rate (under 1), 2012
45
Neonatal mortality rate 2012
23
Total population (thousands) 2012
36345.9
Annual no. of births (thousands) 2012
1590.9
Annual no. of under-5 deaths (thousands) 2012
103
GNI per capita (US$) 2012
440
Life expectancy at birth (years) 2012
58.7
Total adult literacy rate (%) 2008-2012*
73.2
Primary school net enrolment ratio (%) 2008-2011*
93.9
Definitions and data sources
Nutrition
to the top  
Low birthweight (%) 2008-2012*
11.8
Early initiation of breastfeeding (%), 2008-2012*
52.5
Exclusive breastfeeding <6 months (%), 2008-2012*
63.2
Introduction of solid, semi-solid or soft foods 6-8 months (%), 2008-2012*
67
Breastfeeding at age 2 (%), 2008-2012*
45.8
Underweight (%) 2008-2012*, moderate & severe
13.8
Underweight (%) 2008-2012*, severe
3.4
Stunting (%) 2008-2012*, moderate & severe
33.4
Wasting (%) 2008-2012*, moderate & severe
4.7
Overweight (%) 2008-2012*, moderate & severe
3.4
Vitamin A supplementation full coverage (%) 2012
70
Iodized salt consumption (%) 2008-2012*
99
Definitions and data sources
Health
to the top  
Use of improved drinking water sources (%) 2011, total
74.8
Use of improved drinking water sources (%) 2011, urban
91.3
Use of improved drinking water sources (%) 2011, rural
71.7
Use of improved sanitation facilities (%) 2011, total
35
Use of improved sanitation facilities (%) 2011, urban
33.9
Use of improved sanitation facilities (%) 2011, rural
35.2
Routine EPI vaccines financed by government (%) 2012
–
Immunization coverage (%) 2012, BCG
82
Immunization coverage (%) 2012, DPT1
89
Immunization coverage (%) 2012, DPT3
78
Immunization coverage (%) 2012, polio3
82
Immunization coverage (%) 2012, MCV
82
Immunization coverage (%) 2012, HepB3
78
Immunization coverage (%) 2012, Hib3
78
Immunization coverage (%) 2012, Newborns protected against tetanus
85
Pneumonia (%) 2008-2012*, Care seeking for suspected pneumonia
78.7
Pneumonia (%) 2008-2012*, Antibiotic treatment for suspected pneumonia
47.4
Diarrhoea (%) 2008-2012*, Treatment with oral rehydration salts (ORS)
43.5
Malaria (%) 2008-2012*, Antimalarial treatment among febrile children
64.5
Malaria (%) 2008-2012*, Children sleeping under ITNs
42.8
Malaria (%) 2008-2012*, Households with at least one ITN
59.8
Definitions and data sources
HIV/AIDS
to the top  
Adult HIV prevalence (%) 2012
7.2
People of all ages living with HIV (thousands) 2012, estimate
1500
People of all ages living with HIV (thousands) 2012, low
1400
People of all ages living with HIV (thousands) 2012, high
1800
Women living with HIV (thousands) 2012
780
Children living with HIV (thousands) 2012
190
Prevention among young people (aged 15-24), HIV prevalence among young people (%) 2012, total
3.1
Prevention among young people (aged 15-24), HIV prevalence among young people (%) 2012, male
2.3
Prevention among young people (aged 15-24), HIV prevalence among young people (%) 2012, female
4.0
Prevention among young people (aged 15-24), Comprehensive knowledge of HIV (%) 2008-2012*, male
39.5
Prevention among young people (aged 15-24), Comprehensive knowledge of HIV (%) 2008-2012*, female
38.1
Prevention among young people (aged 15-24), Condom use among young people with multiple partners (%) 2008-2012*, male
47.3
Prevention among young people (aged 15-24), Condom use among young people with multiple partners (%) 2008-2012*, female
–
Orphans, Children orphaned by AIDS (thousands) 2012
1000
Orphans, Children orphaned due to all causes (thousands) 2012
2700
Orphans, Orphan school attendance ratio (%), 2008-2012*
87
Definitions and data sources
Education
to the top  
Youth (15-24 years) literacy rate (%) 2008-2012*, male
89.6
Youth (15-24 years) literacy rate (%) 2008-2012*, female
85.5
Number per 100 population 2012, mobile phones
45.9
Number per 100 population 2012, Internet users
14.7
Pre-primary school participation, Gross enrolment ratio (%) 2008 -2012*, male
13.5
Pre-primary school participation, Gross enrolment ratio (%) 2008 -2012*, female
14.2
Primary school participation, Gross enrolment ratio (%) 2008-2012*, male
112.2
Primary school participation, Gross enrolment ratio (%) 2008-2012*, female
114.2
Primary school participation, Net enrolment ratio (%) 2008-2012*, male
92.5
Primary school participation, Net enrolment ratio (%) 2008-2012*, female
95.2
Primary school participation, Net attendance ratio (%) 2008-2012*, male
81.3
Primary school participation, Net attendance ratio (%) 2008-2012*, female
81.1
Primary school participation, Survival rate to last primary grade (%) , 2008-2012*, admin. data
24.8
Primary school participation, Survival rate to last primary grade (%) , 2008-2012*, survey data
71.6
Secondary school participation, Net enrolment ratio (%) 2008-2012*, male
–
Secondary school participation, Net enrolment ratio (%) 2008-2012*, female
–
Secondary school participation, Net attendance ratio (%) 2008-2012*, male
16.2
Secondary school participation, Net attendance ratio (%) 2008-2012*, female
18.7
Definitions and data sources
Demographic Indicators
to the top  
Population (thousands) 2012, total
36345.9
Population (thousands) 2012, under 18
20159.3
Population (thousands) 2012, under 5
6939.1
Population annual growth rate (%), 1990-2012
3.3
Population annual growth rate (%), 2012-2030
3.1
Crude death rate, 1970
16.9
Crude death rate, 1990
17.2
Crude death rate, 2012
9.5
Crude birth rate, 1970
48.8
Crude birth rate, 1990
49.8
Crude birth rate, 2012
43.7
Life expectancy, 1970
48.8
Life expectancy, 1990
47.5
Life expectancy, 2012
58.7
Total fertility rate, 2012
6
Urbanized population (%), 2012
16
Average annual growth rate of urban population (%), 1990-2012
5
Average annual growth rate of urban population (%), 2012-2030
5.5
Definitions and data sources
Economic Indicators
to the top  
GNI per capita 2012, US$
440
GNI per capita 2012, PPP US$
1140
GDP per capita average annual growth rate (%), 1970-1990
–
GDP per capita average annual growth rate (%), 1990-2012
3.5
Average annual rate of inflation (%) 1990-2012
7.5
Population below international poverty line of US$1.25 per day (%) 2007-2011*
38
Public spending as a % of GDP (2007-2011*) allocated to: health
2.5
Public spending as a % of GDP (2008-2010*) allocated to: education
3.2
Public spending as a % of GDP (2008-2010*) allocated to: military
1.6
ODA inflow in millions US$ 2010
1582.4
ODA inflow as a % of recipient GNI 2010
10.1
Debt service as a % of exports of goods and services 2010
1.2
Share of household income (%, 2007-2011*), poorest 40%
16
Share of household income (%, 2007-2011*), richest 20%
51
Definitions and data sources
Women
to the top  
Life expectancy: females as a % of males 2012
103.8
Adult literacy rate: females as a % of males 2008-2012*
78.2
Enrolment ratios: females as a % of males 2008-2012*, Primary GER
101.8
Enrolment ratios: females as a % of males 2008-2012*, Secondary GER
81.9
Survival rate to the last grade of primary: females as a % of males 2008-2012*
97.4
Contraceptive prevalence (%) 2008-2012*
30
Antenatal care (%) 2008-2012*, At least one visit
93.3
Antenatal care (%) 2008-2012*, At least four visits
47.6
Delivery care (%) 2008-2012*, Skilled attendant at birth
57.4
Delivery care (%) 2008-2012*, Institutional delivery
57.4
Delivery care (%) 2008-2012*, C-section
5.3
Maternal mortality ratio , 2008-2012*, Reported
440
Maternal mortality ratio , 2010, Adjusted
310
Maternal mortality ratio , 2010, Lifetime risk of maternal death (1 in:)
49
Definitions and data sources
Child Protection
to the top  
Child labour (%) + 2002-2012*, , total
25.4
Child labour (%) + 2002-2012*, , male
26.9
Child labour (%) + 2002-2012*, , female
23.7
Child marriage (%) 2002-2012*, married by 15
9.9
Child marriage (%) 2002-2012*, married by 18
39.7
Birth registration (%) 2005-2012*, total
29.9
Female genital mutilation/cutting (%) 2002-2012*, prevalence, women a
1.4
Female genital mutilation/cutting (%) 2002-2012*, prevalence, daughtersb
1.3
Female genital mutilation/cutting (%) 2002-2012*, attitudes, support for the practicec
8.7
Justification of wife-beating (%) 2002-2012*, male
43.7
Justification of wife-beating (%) 2002-2012*, female
58.3
Violent discipline (%) + 2005-2012*, total
–
Violent discipline (%) + 2005-2012*, male
–
Violent discipline (%) + 2005-2012*, female
–
Definitions and data sources
The Rate Of Progress
to the top  
Under-5 mortality rank
39
Under-5 mortality rate, , 1970
181
Under-5 mortality rate, , 1990
178
Under-5 mortality rate, , 2000
147
Under-5 mortality rate, , 2012
69
Annual rate of reduction (%) Under-5 mortality rate, 1970-1990
0.1
Annual rate of reduction (%) Under-5 mortality rate, 1990-2000
1.9
Annual rate of reduction (%) Under-5 mortality rate, 2000-2012
6.3
Annual rate of reduction (%) Under-5 mortality rate, 1990-2012
4.3
Reduction since 1990 (%)
61
Reduction since 2000 (%)
53
GDP per capita average annual growth rate (%), 1970-1990
–
GDP per capita average annual growth rate (%), 1990-2012
3.5
Total fertility rate, 1970
7.1
Total fertility rate, 1990
7.1
Total fertility rate, 2012
6
Average annual rate of reduction (%) Total fertility rate, 1970-1990
0
Average annual rate of reduction (%) Total fertility rate, 1990-2012
0.8
Definitions and data sources
Adolescents
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Population aged 10-19, Thousands 2012
8890
Population aged 10-19, Proportion of total population (%) 2012
24.5
Adolescents currently married/ in union (%) 2002-2012* , male
1.8
Adolescents currently married/ in union (%) 2002-2012* , female
20
Births by age 18 (%) 2008-2012*
33
Adolescent birth rate 2006-2010*
146
Justification of wife-beating among adolescents (%) 2002-2012*, male
52.2
Justification of wife-beating among adolescents (%) 2002-2012*, female
61.8
Use of mass media among adolescents (%) 2002-2012*, male
87.7
Use of mass media among adolescents (%) 2002-2012*, female
81.7
Lower secondary school gross enrolment ratio 2008-2012*
34.9
Upper secondary school gross enrolment ratio 2008-2012*
15.1
Comprehensive knowledge of HIV among adolescents (%) 2008-2012*, male
34.8
Comprehensive knowledge of HIV among adolescents (%) 2008-2012*, female
35.6
Definitions and data sources
Disparities By Residence
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Birth registration (%) 2005-2012*, urban
38
Birth registration (%) 2005-2012*, rural
28.7
Birth registration (%) 2005-2012*, ratio of urban to rural
1.3
Skilled attendant at birth (%) 2008-2012*, urban
88.6
Skilled attendant at birth (%) 2008-2012*, rural
52.3
Skilled attendant at birth (%) 2008-2012*, ratio of urban to rural
1.7
Underweight prevalence in children under 5 (%) 2008-2012*, urban
6.6
Underweight prevalence in children under 5 (%) 2008-2012*, rural
14.9
Underweight prevalence in children under 5 (%) 2008-2012*, ratio of rural to urban
2.3
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, urban
46.2
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, rural
43.1
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, ratio of urban to rural
1.1
Primary school net attendance ratio 2008-2012*, urban
85.4
Primary school net attendance ratio 2008-2012*, rural
80.7
Primary school net attendance ratio 2008-2012*, ratio of urban to rural
1.1
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, urban
48.4
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, rural
35.2
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, ratio of urban to rural
1.4
Use of improved sanitation facilities (%) 2010, urban
33.9
Use of improved sanitation facilities (%) 2010, rural
35.2
Use of improved sanitation facilities (%) 2010, ratio of urban to rural
1
Definitions and data sources
Disparities By Household Wealth
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Birth registration (%) 2005-2012*, poorest 20%
27.2
Birth registration (%) 2005-2012*, richest 20%
44
Birth registration (%) 2005-2012*, ratio of richest to poorest
1.6
Skilled attendant at birth (%) 2008-2012*, poorest 20%
43.3
Skilled attendant at birth (%) 2008-2012*, richest 20%
87.5
Skilled attendant at birth (%) 2008-2012*, ratio of richest to poorest
2
Underweight prevalence in children under five (%) 2008-2012*, poorest 20%
18.1
Underweight prevalence in children under five (%) 2008-2012*, richest 20%
8.4
Underweight prevalence in children under five (%) 2008-2012*, ratio of poorest to richest
2.2
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, poorest 20%
42.9
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, richest 20%
45.4
Diarrhoea treatment with oral rehydration salts (ORS) (%) 2008-2012*, ratio of richest to poorest
1.1
Primary school net attendance ratio 2008-2012*, poorest 20%
73.2
Primary school net attendance ratio 2008-2012*, richest 20%
86.9
Primary school net attendance ratio 2008-2012*, ratio of richest to poorest
1.2
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, poorest 20%
–
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, richest 20%
–
Comprehensive knowledge of HIV (%) Females 15-24 2008-2012*, ratio of richest to poorest
–
Comprehensive knowledge of HIV (%) Males 15-24 2008-2012*, poorest 20%
–
Comprehensive knowledge of HIV (%) Males 15-24 2008-2012*, richest 20%
–
Comprehensive knowledge of HIV (%) Males 15-24 2008-2012*, ratio of richest to poorest
–
Definitions and data sources
Early Childhood Development
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Attendance in early childhood education 2005-2012*, total
-
Attendance in early childhood education 2005-2012*, male
-
Attendance in early childhood education 2005-2012*, female
-
Attendance in early childhood education 2005-2012*, poorest 20%
-
Attendance in early childhood education 2005-2012*, richest 20%
-
Adult support for learning ++ 2005-2012*, total
-
Adult support for learning ++ 2005-2012*, male
-
Adult support for learning ++ 2005-2012*, female
-
Adult support for learning ++ 2005-2012*, poorest 20%
-
Adult support for learning ++ 2005-2012*, richest 20%
-
Father's support for learning ++ 2005-2012*
-
Learning materials at home 2005-2012*, Children's books , total
-
Learning materials at home 2005-2012*, Children's books , poorest 20%
-
Learning materials at home 2005-2012*, Children's books , richest 20%
-
Learning materials at home 2005-2012*, Playthings ++, total
-
Learning materials at home 2005-2012*, Playthings ++, poorest 20%
-
Learning materials at home 2005-2012*, Playthings ++, richest 20%
-
Children left in inadequate care 2005-2012*, total
-
Children left in inadequate care 2005-2012*, male
-
Children left in inadequate care 2005-2012*, female
-
Children left in inadequate care 2005-2012*, poorest 20%
-
Children left in inadequate care 2005-2012*, richest 20%
-
Definitions and data sources


Updated: 31 December 2013


Source: http://www.unicef.org/infobycountry/uganda_statistics.html