Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

neutron-96/state-of-content-writing-nigeria-2025

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
neu
Hôte:
Survey analysis of 103 Nigerian content writers – earnings, challenges, industry trends (2025). # State of Content Writing in Nigeria 2025 ## Project Overview This project analyses the **state of content writing in Nigeria** based on a survey of 103 freelance writers conducted between November 2024 and January 2025. The goal is to understand demographics, earnings, client acquisition channels, AI adoption, challenges, and future industry trends. ## Live Resources - **📄 Published Article**: State of Content Writing in Nigeria Report 2025 - **📑 Full PDF Report**: Download from Google Drive - **📊 Raw Data (Kaggle)**: State of Content Writing in Nigeria 2025 ## Tools & Techniques - **Data collection**: Google Forms + interviews - **Data cleaning & analysis**: Python (pandas, matplotlib, seaborn) – *see `/analysis` folder* - **Visualisation**: Matplotlib / Seaborn (charts in the report, and also in images/) - **Reporting**: Published article + PDF summary ## Key Findings (excerpts) - **Demographics**: 65% female, 87% aged 18–30, 79% hold a bachelor’s degree. - **Earnings**: Most earn ₦200k–₦500k/month; 13% earn over ₦2 million/month. - **Top‑paying industries**: SaaS (avg ₦1.31M/month), Technology (₦1.22M), Finance (₦1.0M). - **Client acquisition**: Social media (especially LinkedIn) and referrals dominate. - **AI tools**: ChatGPT and Grammarly are most popular (36% each), mainly for ideation and editing. - **Biggest challenge**: Finding high‑paying clients (35% of responses). - **Future outlook**: 58% would still choose content writing as a career today. ## How to Reproduce 1. Clone this repository. 2. Download the raw data from Kaggle. 3. Place `State_of_Content_Writing_in_Nigeria_Raw_data.csv` inside the `data/` folder (create it). 4. Run the Jupyter notebook in `/analysis` to generate summary statistics and charts. 5. Refer to the published article for the final narrative and recommendations. ## Authors & Contributors - **Chidinma Ofoegbu** – Survey design, writing, publication - **Sandra Tabansi** – Survey distribution, industry insights - **Miracle Ajo …

Visit

github.com

Similaires

PromiseCPU/State-of-Content-Writing-in-Nigeria.Somaliska: Saynis 1994–96 Somali: Saynis 1994–96Descriptive epidemiology of Lassa fever outbreak in Taraba State, Nigeria, 2025Instrumental Neutron Activation Analysis (INAA) As-sessment of REE of Soil from Mining Site Umuahia, Abia State, South East, NigeriaSong 96 20160120hLerato-96/Dynacademy

PromiseCPU/State-of-Content-Writing-in-Nigeria.

This report draws on survey responses from 105 Nigerian content writers and analyzes their experienc

Somaliska: Saynis 1994–96 Somali: Saynis 1994–96

Descriptive epidemiology of Lassa fever outbreak in Taraba State, Nigeria, 2025

Introduction: Lassa fever (LF) is endemic in West Africa, representing a significant public health s

Instrumental Neutron Activation Analysis (INAA) As-sessment of REE of Soil from Mining Site Umuahia, Abia State, South East, Nigeria

In this work, the main goal was to examine the REE concentration and distribution pattern in soil fr

Song 96 20160120h

The traditional dancing song . Song addressed by a young man (native to Duuru) to a y

Lerato-96/Dynacademy

Dynacademy is an AI-powered education and career guidance platform designed to support South African