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Datasets:
electricsheepafrica
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africa-gardo-district-conflict-and-security-assessment-report-2015

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Tags:
africa
humanitarian
hdx
electric-sheep-africa
conflict-violence
som
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region_name
int64
district_name
int64
village_name
int64
gender_responder
int64
age
int64
marital_status
int64
level_education
int64
police_presense
int64
number_of_stations
float64
number_of_stations_other
string
distance_to_station
float64
reporting_civil
int64
reporting_civil_other
string
reporting_petty_crime
int64
reporting_petty_other
string
reporting_serious_crime
int64
reporting_serious_other
string
trusted_sec_prov
int64
trusted_sec_other
string
reason_for_choice_sec
float64
reason_for_choice_sec_other
string
level_trust_police
int64
police_yearly_trend
int64
court_presense
int64
number_of_courts
float64
number_of_courts_other
string
where_is_court
float64
distance_to_court
string
legal_clinic_aware
int64
legal_clinic_use
string
legal_clinic_ref
string
legal_clinic_ref_other
string
legal_clinic_issuelanddispute
string
legal_clinic_issuebusidisputes
string
legal_clinic_issuerobbery
string
legal_clinic_issueyouthviol
string
legal_clinic_issuehhviolence
string
legal_clinic_issueassault
string
legal_clinic_issueother
string
legal_clinic_issuerta
string
legal_clinic_issue_other
string
legal_clinic_judgement
string
legal_clinic_enforced
string
court_use
int64
court_ref
string
court_ref_other
string
court_issuelanddispute
string
court_issuebusidisputes
string
court_issuerobbery
string
court_issueyouthviol
string
court_issuehhviolence
string
court_issueassault
string
court_issueother
string
court_issuerta
string
court_issue_other
string
court_judgement
string
court_enforced
string
elders_use
int64
elders_ref
string
elders_ref_other
string
elders_issuelanddispute
string
elders_issuebusidisputes
string
elders_issuerobbery
string
elders_issueyouthviol
string
elders_issuehhviolence
string
elders_issueassault
string
elders_issueother
string
elders_issuerta
string
elders_issue_other
string
elders_judgement
string
elders_enforced
string
religious_use
int64
religious_ref
string
religious_ref_other
string
religious_issuelanddispute
string
religious_issuebusidisputes
string
religious_issuerobbery
string
religious_issueyouthviol
string
religious_issuehhviolence
string
religious_issueassault
string
religious_issueother
string
religious_issuerta
string
religious_issue_other
string
religious_judgement
string
religious_enforced
string
trusted_just_prov
int64
trusted_just_prov_other
string
reason_for_choice_just
string
reason_for_choice_just_other
string
conf_formal_just
int64
court_yearly_trend
int64
local_council_aware
int64
loc_gov_serviceseducation
string
loc_gov_serviceshealth
string
loc_gov_servicessecurity
string
loc_gov_servicesjustice
string
loc_gov_servicesagriculture
string
loc_gov_servicesinfrastructure
string
loc_gov_servicessanitation
string
loc_gov_serviceswater
string
loc_gov_servicesother
string
loc_gov_servicesdontknow
string
loc_gov_servicesrta
string
loc_gov_services_other
string
channels_comm
string
consultation_participation
int64
participation_frequency
string
participation_frequency_other
string
elected_opinion
int64
community_issueslackofwater
string
community_issuesdrought
string
community_issueslofinfrastructure
string
community_issuespoorsanitation
string
community_issuespoorhealth
string
community_issuesunemployment
string
community_issuespooreducation
string
community_issuesshortelectsupply
string
community_issuespooreconomy
string
community_issuescharcoalpdefor
string
community_issuesbadhealthc
string
community_issuesinsecurity
string
community_issuesgenderbasedv
string
community_issuesother
string
community_issuesdontknow
string
community_issuesrta
string
community_issues_other
string
council_yearly_trend
string
witnessed_conflict
int64
number_of_conflicts
string
number_conf_violence
string
number_casualties
string
conflict_reasonresources
string
conflict_reasonfamilydisp
string
conflict_reasoncrime
string
conflict_reasonpower
string
conflict_reasonrevenge
string
conflict_reasonbusidisputes
string
conflict_reasonrape
string
conflict_reasonlackofjustice
string
conflict_reasonyouthviol
string
conflict_reasonother
string
conflict_reasondontknow
string
conflict_reasonrta
string
conflict_reason_other
string
witnessed_crimes
int64
how_safe
int64
safety_yearly_trend
int64
esa_source
string
esa_processed
string
1
1
1
1
5
2
3
1
1
3
5
2
2
2
4
3
3
1
1
1
2
2
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3
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1
999
2
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2026-04-11
1
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2026-04-11
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2026-04-11
1
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5
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5
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2026-04-11
1
1
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2026-04-11
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2026-04-11
1
1
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1
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1
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1
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1
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1
1
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HDX
2026-04-11
1
1
1
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1
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5
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3
3
1
1
1
2
2
2
2
2
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1
1
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2026-04-11
1
1
1
1
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2
3
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5
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2
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4
1
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2026-04-11
1
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2026-04-11
1
1
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5
5
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1
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2
2
4
1
HDX
2026-04-11
1
1
5
2
4
2
1
1
1
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2
2
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2
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1
1
1
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1
3
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1
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2
2
5
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2
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777
1
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1
1
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4
3
HDX
2026-04-11
1
1
3
2
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4
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4
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1
999
1
1
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HDX
2026-04-11
1
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2026-04-11
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777
1
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2026-04-11
1
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1
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3
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2026-04-11
1
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
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2026-04-11
1
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2026-04-11
1
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2026-04-11
1
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2
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2026-04-11
1
1
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1
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1
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1
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2026-04-11
1
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2026-04-11
1
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2
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2026-04-11
1
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2026-04-11
1
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2026-04-11
1
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4
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2
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2
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1
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2
1
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2
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3
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2026-04-11
1
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2026-04-11
1
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1
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2026-04-11
1
1
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2
2
1
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1
1
1
5
5
5
5
4
3
3
1
1
1
1
1
2
2
888
888
3
4
777
3
777
1
999
1
1
1
1
2
2
3
3
HDX
2026-04-11
1
1
1
1
4
2
3
1
1
2
5
5
5
5
3
3
3
1
1
2
1
2
2
2
2
3
6
777
3
777
1
999
1
1
1
1
1
2
2
3
3
HDX
2026-04-11
1
1
3
1
6
4
3
1
1
3
2
2
2
4
3
1
3
1
1
1
3
2
2
2
2
3
4
3
777
1
1
1
1
2
1
3
1
1
1
1
1
1
777
2
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Gardo District Conflict and Security Assessment Report - 2015

Publisher: Observatory of Conflict and Violence Prevention (inactive) · Source: HDX · License: cc-by-igo · Updated: 2023-03-03

Abstract

As a part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in Gardo District, the capital of Karkaar region of Puntland.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2023-03-03. Geographic scope: SOM.

Curated into ML-ready Parquet format by Electric Sheep Africa.

Dataset Characteristics

Domain Public health
Unit of observation Subnational administrative unit observations
Rows (total) 196
Columns 149 (34 numeric, 115 categorical, 0 datetime)
Train split 156 rows
Test split 39 rows
Geographic scope SOM
Publisher Observatory of Conflict and Violence Prevention (inactive)
HDX last updated 2023-03-03

Variables

Geographic — region_name (range 1.0–1.0), district_name (range 1.0–1.0), reporting_petty_crime (range 1.0–777.0), reporting_petty_other ( , Gudiga xalinta khilafaadka, Gudiga), police_yearly_trend (range 1.0–777.0) and 33 others.

Demographic — village_name (range 1.0–5.0), gender_responder (range 1.0–2.0), age (range 1.0–6.0), legal_clinic_issuehhviolence, court_issuehhviolence and 2 others.

Outcome / Measurement — number_of_stations (range 1.0–777.0), number_of_stations_other ( ), number_of_courts (range 1.0–777.0), number_of_courts_other ( ), number_of_conflicts and 2 others.

Identifier / Metadata — legal_clinic_ref ( ), legal_clinic_ref_other, legal_clinic_issuebusidisputes, court_ref, court_ref_other and 11 others.

Other — marital_status (range 1.0–888.0), level_education (range 1.0–7.0), police_presense (range 1.0–777.0), distance_to_station (range 1.0–777.0), reporting_civil (range 1.0–777.0) and 76 others.

Quick Start 

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-gardo-district-conflict-and-security-assessment-report-2015")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column Type Null % Range / Sample Values
region_name int64 0.0% 1.0 – 1.0 (mean 1.0)
district_name int64 0.0% 1.0 – 1.0 (mean 1.0)
village_name int64 0.0% 1.0 – 5.0 (mean 3.0153)
gender_responder int64 0.0% 1.0 – 2.0 (mean 1.4898)
age int64 0.0% 1.0 – 6.0 (mean 3.1582)
marital_status int64 0.0% 1.0 – 888.0 (mean 15.6684)
level_education int64 0.0% 1.0 – 7.0 (mean 3.4235)
police_presense int64 0.0% 1.0 – 777.0 (mean 24.7755)
number_of_stations float64 5.1% 1.0 – 777.0 (mean 63.6828)
number_of_stations_other object 0.0%
distance_to_station float64 5.1% 1.0 – 777.0 (mean 52.3763)
reporting_civil int64 0.0% 1.0 – 777.0 (mean 35.5561)
reporting_civil_other object 0.0% , Gudiga xaafada, Guddi xafadda
reporting_petty_crime int64 0.0% 1.0 – 777.0 (mean 31.5408)
reporting_petty_other object 0.0% , Gudiga xalinta khilafaadka, Gudiga
reporting_serious_crime int64 0.0% 1.0 – 777.0 (mean 31.4184)
reporting_serious_other object 0.0% , Hadba kii ku dhow
trusted_sec_prov int64 0.0% 1.0 – 777.0 (mean 35.3673)
trusted_sec_other object 0.0% , Kulli
reason_for_choice_sec float64 6.1% 1.0 – 777.0 (mean 11.2065)
reason_for_choice_sec_other object 0.0% , Waa lag baqaah, Wa dad wayo atag weeye
level_trust_police int64 0.0% 1.0 – 777.0 (mean 42.7806)
police_yearly_trend int64 0.0% 1.0 – 777.0 (mean 92.8214)
court_presense int64 0.0% 1.0 – 777.0 (mean 44.602)
number_of_courts float64 10.7% 1.0 – 777.0 (mean 23.1886)
number_of_courts_other object 0.0%
where_is_court float64 10.7% 1.0 – 777.0 (mean 36.5486)
distance_to_court object 0.0% 3, , 2
legal_clinic_aware int64 0.0%
legal_clinic_use object 0.0% , 2
legal_clinic_ref object 0.0%
legal_clinic_ref_other object 0.0%
legal_clinic_issuelanddispute object 0.0%
legal_clinic_issuebusidisputes object 0.0%
legal_clinic_issuerobbery object 0.0%
legal_clinic_issueyouthviol object 0.0%
legal_clinic_issuehhviolence object 0.0%
legal_clinic_issueassault object 0.0%
legal_clinic_issueother object 0.0%
legal_clinic_issuerta object 0.0%
legal_clinic_issue_other object 0.0%
legal_clinic_judgement object 0.0%
legal_clinic_enforced object 0.0%
court_use int64 0.0%
court_ref object 0.0%
court_ref_other object 0.0%
court_issuelanddispute object 0.0%
court_issuebusidisputes object 0.0%
court_issuerobbery object 0.0%
court_issueyouthviol object 0.0%
court_issuehhviolence object 0.0%
court_issueassault object 0.0%
court_issueother object 0.0%
court_issuerta object 0.0%
court_issue_other object 0.0%
court_judgement object 0.0%
court_enforced object 0.0%
elders_use int64 0.0%
elders_ref object 0.0%
elders_ref_other object 0.0%
elders_issuelanddispute object 0.0%
elders_issuebusidisputes object 0.0%
elders_issuerobbery object 0.0%
elders_issueyouthviol object 0.0%
elders_issuehhviolence object 0.0%
elders_issueassault object 0.0%
elders_issueother object 0.0%
elders_issuerta object 0.0%
elders_issue_other object 0.0%
elders_judgement object 0.0%
elders_enforced object 0.0%
religious_use int64 0.0%
religious_ref object 0.0%
religious_ref_other object 0.0%
religious_issuelanddispute object 0.0%
religious_issuebusidisputes object 0.0%
religious_issuerobbery object 0.0%
religious_issueyouthviol object 0.0%
religious_issuehhviolence object 0.0%
religious_issueassault object 0.0%
religious_issueother object 0.0%
religious_issuerta object 0.0%
religious_issue_other object 0.0%
religious_judgement object 0.0%
religious_enforced object 0.0%
trusted_just_prov int64 0.0%
trusted_just_prov_other object 0.0%
reason_for_choice_just object 0.0%
reason_for_choice_just_other object 0.0%
conf_formal_just int64 0.0%
court_yearly_trend int64 0.0%
local_council_aware int64 0.0%
loc_gov_serviceseducation object 0.0%
loc_gov_serviceshealth object 0.0%
loc_gov_servicessecurity object 0.0%
loc_gov_servicesjustice object 0.0%
loc_gov_servicesagriculture object 0.0%
loc_gov_servicesinfrastructure object 0.0%
loc_gov_servicessanitation object 0.0%
loc_gov_serviceswater object 0.0%
loc_gov_servicesother object 0.0%
loc_gov_servicesdontknow object 0.0%
loc_gov_servicesrta object 0.0%
loc_gov_services_other object 0.0%
channels_comm object 0.0%
consultation_participation int64 0.0%
participation_frequency object 0.0%
participation_frequency_other object 0.0%
elected_opinion int64 0.0%
community_issueslackofwater object 0.0%
community_issuesdrought object 0.0%
community_issueslofinfrastructure object 0.0%
community_issuespoorsanitation object 0.0%
community_issuespoorhealth object 0.0%
community_issuesunemployment object 0.0%
community_issuespooreducation object 0.0%
community_issuesshortelectsupply object 0.0%
community_issuespooreconomy object 0.0%
community_issuescharcoalpdefor object 0.0%
community_issuesbadhealthc object 0.0%
community_issuesinsecurity object 0.0%
community_issuesgenderbasedv object 0.0%
community_issuesother object 0.0%
community_issuesdontknow object 0.0%
community_issuesrta object 0.0%
community_issues_other object 0.0%
council_yearly_trend object 0.0%
witnessed_conflict int64 0.0%
number_of_conflicts object 0.0%
number_conf_violence object 0.0%
number_casualties object 0.0%
conflict_reasonresources object 0.0%
conflict_reasonfamilydisp object 0.0%
conflict_reasoncrime object 0.0%
conflict_reasonpower object 0.0%
conflict_reasonrevenge object 0.0%
conflict_reasonbusidisputes object 0.0%
conflict_reasonrape object 0.0%
conflict_reasonlackofjustice object 0.0%
conflict_reasonyouthviol object 0.0%
conflict_reasonother object 0.0%
conflict_reasondontknow object 0.0%
conflict_reasonrta object 0.0%
conflict_reason_other object 0.0%
witnessed_crimes int64 0.0%
how_safe int64 0.0%
safety_yearly_trend int64 0.0%
esa_source object 0.0%
esa_processed object 0.0%

Numeric Summary

Column Min Max Mean Median
region_name 1.0 1.0 1.0 1.0
district_name 1.0 1.0 1.0 1.0
village_name 1.0 5.0 3.0153 3.0
gender_responder 1.0 2.0 1.4898 1.0
age 1.0 6.0 3.1582 3.0
marital_status 1.0 888.0 15.6684 2.0
level_education 1.0 7.0 3.4235 3.0
police_presense 1.0 777.0 24.7755 1.0
number_of_stations 1.0 777.0 63.6828 1.0
distance_to_station 1.0 777.0 52.3763 2.0
reporting_civil 1.0 777.0 35.5561 5.0
reporting_petty_crime 1.0 777.0 31.5408 5.0
reporting_serious_crime 1.0 777.0 31.4184 5.0
trusted_sec_prov 1.0 777.0 35.3673 5.0
reason_for_choice_sec 1.0 777.0 11.2065 3.0

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 5 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

Limitations

  • Data originates from Observatory of Conflict and Violence Prevention (inactive) and has not been independently validated by ESA.
  • Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
  • Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation 

@dataset{hdx_africa_gardo_district_conflict_and_security_assessment_report_2015,
  title     = {Gardo District Conflict and Security Assessment Report - 2015},
  author    = {Observatory of Conflict and Violence Prevention (inactive)},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/gardo-district-conflict-and-security-assessment-report-2015},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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