Indigenous Populations Databases

Part of knowledge sharing is collecting information that is already out there. Our team of researchers are working to map and create a comprehensive dataset of all indigenous populations of the world. 

Why create free datasets?

Comprehensive information about indigenous populations is scattered, if not rare on the internet. We wanted to harmonise data so that researchers and students can create their own understandings of our unique populations. 

How to use the datasets:

You can view a snippet of our databases here on the website. If you want to play with them, feel free to download them as CSV files.

Indian Database

On Indigenous Peoples Day (August 9th 2022), we're releasing our second dataset, an expanded version of the first one.

All for free! We believe knowledge should be easy to find and free for all. 

This dataset has been compiled and verified 100% by indigenous researchers from India. 

Go To IndiaN Database ->
The Indegenous original artwork

North East India Database

On Indigeneous Peoples Day (August 9th 2021), we at the Indegenous are releasing the first ever dataset compiling tribal information such as demographics, languages, food habits and more. 

All for free! We believe knowledge should be easy to find and free for all. 

This dataset has been compiled 100% by indigenous researchers from North East India. 

Go To North East India Database ->
african mask drawing - The Indegenous

African Database

A working database on the indigenous populations in the African continent.
The African database is an attempt to create a first level mapping of populations that have seen generations of misinformation, colonial impositions of religion, culture and narratives. 

So far, this database only reports second level information and takes a geo-sociological approach. 

Go to African populations database ->

Our Approach

This dataset takes a critical realism approach by examining the definition of ‘indigenous person’ as dictated by political entities versus an ontological examination of the identity of an ‘indigenous person’.

The way we at the Indegenous define ‘indigenous peoples’ is based on a cultural view rather than a governmentally recognized scheduled tribe approach. That is why there are inclusions of indigenous peoples that do not yet have ‘scheduled tribe’ status. This approach might be considered as biased or incomprehensive since there are complexities in hierarchy and relationships between different tribal populations. There are several instances where due to insufficient data, it was difficult to include tribes that are perhaps sub tribes or clans of other tribes. There is also a discrepancy in the way tribal populations view themselves, versus the way that they are viewed through literature written by ‘outsiders’. By an ‘outsider’, we refer to the researcher trained in western research training that takes an approach of an observer without considering context or indigenous sentiment. According to Indigenous scholars, western research training requires adaptation to fit Indigenous contexts(Kovach, 2010; Simonds and Christopher, 2013; Wilson, 2008).  Western research needs a significant process of decolonization for future research based on lessons learned from Indigenous community partners who voiced concern over methods of Western research (Smith, 1999; Tuck and Yang, 2012). 


Explanation

In order to decolonize the way research is conducted, we have included self reporting of information through blogs written by indigenous peoples since we agree with Ranjan Datta that decolonization “is a continuous process of anti-colonial struggle that honors Indigenous approaches to knowing the world, recognizing Indigenous land, Indigenous peoples, and Indigenous sovereignty”.

Our Methodology

Therefore, we keep a comprehensive view of indigenous populations by designing an inclusion criteria that answers the following:

1. Do they self-identify as an indigenous community themselves? 

2. Does this community have a distinct language? If yes, do they have dialects? 

2. Are they known to have distinct traditions? 

3. Do they celebrate distinct festivals and have rituals that can be differentiated? 

4. Are their food habits and cuisines distinct? 

5. Do they have a history of economic or cultural bias?


After the identification of indigenous tribes, we applied a mixed research approach of combining qualitative and quantitative data. 


Note about Sources:

This dataset comprises of both primary data sources: interviews with indigenous peoples with their information mentioned on the sources section as well as secondary sources by conducting literature study of former research on these indigenous populations.
Notes to researchers about bias:

As far as it is possible, we have relied on National Census data to have an unbiased presentation of indigenous populations. However, as mentioned before, this is often incomplete due to many factors:

1. Lack of official government recognition
2. Minimal contact of indigenous populations with government entities
3. Lack of academically rigorous sociological research

Where government data isn’t available, we have relied on academic research, journal publications and newspaper articles. All sources have been noted in the sources section.

Where even academic research fails to suffice, we have relied on information found on self-identified blogs and NGO research. There is concern that accuracy of information in these cases may be reduced due to the lack of academic rigor in reporting. Therefore, researchers have been noted to use reasonable judgement before citing these sources. To make it easier, there is a comments section which notes when such cases occur.

Population data:

This section is incomplete due to lack of sources and is subject to review. Where it hasn’t been noted, the official sources of population data comes from the 2011 Government of India census. Otherwise, the source of population information is written under the comments section.

Nuances and reflections for further research


There are instances where a tribe is either a family of tribes of a subtribe of another. These have been a source of complexity that this dataset fails to address. We recognize that there may have been reductions made in these cases. Specific cases have been noted in the comments and other names sections. Additionally, in the other names section, we have written the clans or sub-tribes as other names. 

Similarly, there are Mizo tribes that we struggled to find information about. From our knowledge, some of them are not tribes in themselves but rather clans that can be traced back to a single family which further distinguished themselves from their relatives. Due to the nature of this database, it was not possible for us to show hierarchical structures and therefore this remains to be a basis for future research. Tribal family relationships are extremely complex and may not be classifiable by state or region or even languages. This type of research is not quantifiable but rather to be done as case studies.

For example, there are Mizo tribes that we struggled to find information about. From our knowledge, some of them are not tribes in themselves but rather clans that can be traced back to a single family which further distinguished themselves from their relatives and now have distinct 

Due to the nature of this database, it was not possible for us to show hierarchical structures and therefore this remains to be a basis for future research. Tribal family relationships are extremely complex and may not be classifiable by state or region or even languages. This type of research is not quantifiable but rather to be done as case studies.