Data · dataset · 2026
Human Trafficking Colombia 2012-2023
Listed in Teesside University Research Data Repository
Since you need to fill this into a text box, it should be a single, cohesive narrative that flows logically.
Description
I have condensed the information into a professional paragraph that answers all the requirements: hypothesis, findings, interpretation, and data origin. Data Description: The research hypothesis for this study posited that Colombia’s National Strategy to Combat Human Trafficking (2016–2020) would be associated with a measurable change in the trends and spatial distribution of reported trafficking victimization, but that its effectiveness would be moderated by local socioeconomic conditions and institutional presence.
Our data, comprised of municipal-level victimization records and socioeconomic indicators, shows significant spatial clustering of trafficking reports, particularly in transit corridors and regions with persistent conflict. The analysis reveals that while the national strategy coincided with changes in reporting patterns, these effects were not uniform across the country, suggesting that trafficking risk often shifted rather than disappeared.
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Notable findings from the negative binomial regression and spatial hotspot analyses indicate that factors such as informal labor markets and local poverty levels are stronger predictors of trafficking risk than the presence of the policy alone. This suggests that the data should be interpreted as a call for place-based, data-driven interventions rather than centralized, "one-size-fits-all" strategies. The dataset was constructed by merging official victimization counts from National Police with municipal demographic data from DANE.
To enable replication, the data is organized by municipal DANE codes and has been cleaned to ensure longitudinal consistency across the 2016–2023 period.
Links
Where it is published
- DOI doi.org/10.17632/gj43gjf3jh.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering
- Inferred from text
- Longitudinal study 65% · Text 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/gj43gjf3jh.1 | 9 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |