# TA Kameme Traditional authority, Chitipa District – Villages

> Source: https://wherepedia.org/malawi/northern/chitipa/ta-kameme/

Traditional authority · Chitipa District 

# TA Kameme

TA Kameme is a traditional authority area of Malawi in Chitipa District, Northern Region. It covers **441.7 km²**. 30 named villages and localities are recorded here, and 1 mapped services such as hospitals, banks and schools.

- 442km²
- 1mapped services
- 1,349 mtypical elevation

## Where is TA Kameme?

TA Kameme lies in [Chitipa District](https://wherepedia.org/malawi/northern/chitipa/), [Northern Region](https://wherepedia.org/malawi/northern/), [Malawi](https://wherepedia.org/malawi/). It borders 1 other traditional authority: [STA Bulambya Songwe](https://wherepedia.org/malawi/northern/chitipa/sta-bulambya-songwe/). By area it is the 60th largest of 433 traditional authorities in Malawi. It covers 10.2% of [Chitipa District](https://wherepedia.org/malawi/northern/chitipa/). The centre of TA Kameme is about 499 km in a straight line from Lilongwe, the capital. It is about 27 km from Chitipa, the main town of Chitipa District. The centre point is at -9.5274° N, 33.1007° E.

Source: [National Statistics Office of Malawi via OCHA HDX, administrative boundaries (COD-AB, CC BY-IGO)](https://data.humdata.org/dataset/cod-ab-mwi).

## Villages and localities in TA Kameme

Open gazetteers list **30 villages, towns and localities** in TA Kameme. Settlements here lie between about 1,284 m and 1,635 m above sea level (median 1,349 m).

- Amon Kameme
- Chilingi
- Chiwanga
- David Kameme
- Ifisa
- Ilengo
- Ipenza
- James Kameme
- James Silindu
- Jeremia Mwang’amba
- Kameme
- Kapere
- Kasisi
- Kenan Dangali
- Kenan Mweneiyanga
- Molukwa
- Mukoma
- Munyimbo
- Mweneipenza
- Mwennipoka
- Namulongo
- Navitengo
- Nyimbo
- Ruben
- Sam Mweneipenza
- Smomba
- Solomon Mwenebako
- Titi
- Watson Mwang’amba
- Zakeyo Mwenembako

Source: [GeoNames (CC BY 4.0) — settlements, natural and historic features](https://www.geonames.org/); [© OpenStreetMap contributors (ODbL), Geofabrik extract — named settlements](https://www.openstreetmap.org/copyright).

## Landscape and landmarks of TA Kameme

Named natural and historic features inside TA Kameme, from the GeoNames gazetteer.

### Water

42 rivers and streams.

- Ciajirira
- Cipangapanga
- Cisankwa
- Cisyonga
- Citete
- Hanga
- Ibankha
- Ilembe
- Ilindi
- Ipenza
- Ipula
- Iwonde
- Iwungu
- Kambiri
- Kamwero
- Kapata
- Kasambwe
- Komera
- Lusonyonto
- Lwene
- Mpako
- Mpwamu
- Mweneipembe
- Nacinyani

…and 18 more.

### Hills and mountains

12 mountains; 7 hills.

- Chiwanga · 1,963 m
- Ruwenya · 1,921 m
- Luwene · 1,861 m
- Nachizya · 1,764 m
- Namang’oka · 1,742 m
- Masinga Namalawi · 1,713 m
- Ngowe · 1,710 m
- Undongo Hill · 1,693 m
- Navinyoni · 1,691 m
- Nambeye · 1,686 m
- Nguni Hill · 1,685 m
- Nasyete Hill · 1,674 m
- Sumbo Hill · 1,645 m
- Kiwanga Hill · 1,644 m
- Ilengo · 1,641 m
- Ifisa Hill · 1,596 m
- Napulumuko Hill · 1,589 m
- Cipinkha Hill · 1,486 m
- Saku Hill · 1,479 m

Source: [GeoNames (CC BY 4.0) — settlements, natural and historic features](https://www.geonames.org/).

Places of worship are not listed. Elevations are from the GeoNames terrain model and are approximate.

## Weather in TA Kameme and the best time to visit

Using the climate of Chitipa District, the warmest month is Nov (average 26 °C) and the coolest is Jul (17 °C). About 1,197 mm of rain falls in a year; the wettest month is Jan (271 mm) and the driest Aug (3 mm). The most comfortable months for a visit are **April to November**.

- Jan
- Feb
- Mar
- Apr
- May
- Jun
- Jul
- Aug
- Sep
- Oct
- Nov
- Dec

Month Average °C Rain mm 

Jan 22 271 

Feb 22 208 

Mar 22 214 

Apr 21 102 

May 19 20 

Jun 18 11 

Jul 17 5 

Aug 20 3 

Sep 23 4 

Oct 26 22 

Nov 26 89 

Dec 23 249 

Source: [NASA POWER climatology, retrieved 2026-10-29](https://power.larc.nasa.gov/).

## Nearest hospital, bank and fuel from TA Kameme

Need Nearest mapped Distance 

Hospital Chitipa District Hospital · Chitipa Boma 27 km [Map](https://www.openstreetmap.org/?mlat=-9.70168&mlon=33.26598#map=17/-9.70168/33.26598) 

Bank National Bank · Chitipa Boma 27 km [Map](https://www.openstreetmap.org/?mlat=-9.70440&mlon=33.27469#map=17/-9.70440/33.27469) 

Hotel Chitipa Inn · Chitipa Boma 26 km [Map](https://www.openstreetmap.org/?mlat=-9.69906&mlon=33.26065#map=17/-9.69906/33.26065) 

School Musindano Primary School · TA Kameme 12 km [Map](https://www.openstreetmap.org/?mlat=-9.62852&mlon=33.05966#map=17/-9.62852/33.05966) 

Police station Lomba Road Block · STA Bulambya Songwe 9.3 km [Map](https://www.openstreetmap.org/?mlat=-9.49930&mlon=33.18101#map=17/-9.49930/33.18101) 

Source: [Overture Maps places (CDLA-Permissive-2.0) and © OpenStreetMap contributors (ODbL)](https://overturemaps.org/).

Straight-line distance from the centre of the division, within 40 km.

## Hospitals, banks and other services in TA Kameme

Places mapped inside TA Kameme in open map data, by type.

- Schools1

Source: [Overture Maps places (CDLA-Permissive-2.0) and © OpenStreetMap contributors (ODbL)](https://overturemaps.org/).

Coverage depends on what has been mapped; contact details are not shown.

## Other traditional authorities in Chitipa District

- Chitipa Boma
- Nyika Ntational Park-Chitipa
- STA Bulambya Songwe
- STA Lwangwa
- STA Nthengatenga
- STA Wavikaza
- TA Mwabulambya
- TA Mwenemisuku
- TA Mwenewenya
- TA Nthalire

## Quick answers

- Where is TA Kameme?In Chitipa District, Northern Region, Malawi
- What borders TA Kameme?STA Bulambya Songwe
- How many villages are in TA Kameme?30 named settlements (GeoNames, OpenStreetMap)
- What is the elevation of TA Kameme?Settlements lie between 1,284 m and 1,635 m
- What is the highest point in TA Kameme?Chiwanga (1,963 m, GeoNames elevation model)
- What is the best time to visit TA Kameme?April to November
- Where is the nearest hospital to TA Kameme?Chitipa District Hospital, about 27 km from the centre
- Where is the nearest bank to TA Kameme?National Bank, about 27 km from the centre
- What is the P-code of TA Kameme?MW10109 (OCHA common operational dataset)
