World Bank Data

@worldbankdata · joined 16 Oct 2010

The Development Data Group unlocks the value of #data for development. Follow us for #opendata news, stories & #dataviz. More: https://t.co/SYIZiT3UuE

82 863Followers

413Following

22 710Posts total

74.9KViews on collected posts

Últimas publicaciones

World Bank Data@worldbankdata22 Sep

US$30 million a year. That’s what Guinea-Bissau could gain from making two agricultural value chains work better. What is making this chain less effective and more challenging?: https://t.co/m846kWiIII https://t.co/yumzMd8aeu

253 views · 1 likes · 0 reposts · 0 replies Open on X →

World Bank Data@worldbankdata22 Sep

Administrative data hold potential for better statistics & policy. In our upcoming LET'S TALK DATA event, former UK Office for National Statistics Chief Data Officer Roberto Pitea shares practical lessons on making government data sharing work. Register: https://t.co/jB4qTjAzAv

610 views · 3 likes · 1 reposts · 0 replies Open on X →

World Bank Data@worldbankdata21 Sep

Did you know that data sharing initiatives can generate an estimated US$5 in social returns for every dollar invested. But realizing that value takes more than APIs and platforms. Check our five-part roadmap for turning government data into public value: https://t.co/L1GHnK03rm

1.6K views · 18 likes · 3 reposts · 2 replies Open on X →

World Bank Data@worldbankdata21 Sep

Can mobile phone records help identify people living in poverty? Evidence from Afghanistan, Côte d'Ivoire, Malawi, and Togo suggests they can — especially when the goal is to identify chronic poverty and vulnerability where survey data are limited: https://t.co/h6VrxJEIOV https

1.4K views · 11 likes · 2 reposts · 0 replies Open on X →

World Bank Data@worldbankdata9 Jul

The world's income map has shifted since 1987. Low-income countries went from 30% to 11% High-income economies went from 25% to 41% Learn more with the recently launched 2026-2027 @WorldBankGroup Country Income Classifications: https://t.co/mqfXBmeQot https://t.co/H2w9NYcFsH

71.1K views · 155 likes · 70 reposts · 12 replies Open on X →

Frente a cuentas del mismo tamaño

4 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas1 018esta cuenta924mediana de 10K–100K

Alcance, %1.23%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.78%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	1 018	924	1.10×
Alcance (visualizaciones ÷ seguidores)	1.23%	3.62%	0.34×
Tasa de interacción	0.78%	1.52%	0.52×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

71.1K9 Jul

1.4K21 Sep

1.6K

61022 Sep

253

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%9 Jul

0.91%21 Sep

1.60%

0.66%22 Sep

0.40%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes52.8%188 in total

Reposts21.3%76 in total

Replies3.9%14 in total

Quotes2.8%10 in total

Bookmarks19.1%68 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.