Daily Stub Creation Rate (count)
— share, last 30 days.
0
6
12
18
29 Aug
30 Aug
31 Aug
01 Sep
02 Sep
03 Sep
04 Sep
05 Sep
06 Sep
07 Sep
08 Sep
09 Sep
10 Sep
11 Sep
12 Sep
13 Sep
14 Sep
15 Sep
16 Sep
17 Sep
18 Sep
19 Sep
20 Sep
21 Sep
22 Sep
25 Sep
26 Sep
Darker = higher daily stub creation rate. Empty cells are hours with no collection.
Daily Stub Creation Rate (count)
— heatmap, last 30 days.
Daily Stub Creation Rate observations
When
Series
Daily Stub Creation Rate
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
2026-09-04
10 count
2026-09-03
10 count
2026-09-02
10 count
2026-09-01
10 count
2026-08-31
10 count
2026-08-30
10 count
2026-08-29
10 count
Daily Stub Creation Rate (count)
— table, last 30 days.
Stub Category Distribution
The distribution of stubs across different categories
27 observations across 8 series · measured in count
10 count
2026-08-29
29 Aug 2026 11:30
10 count
2026-08-30
30 Aug 2026 11:45
10 count
2026-08-31
31 Aug 2026 12:00
10 count
2026-09-01
01 Sep 2026 12:15
10 count
2026-09-02
02 Sep 2026 12:30
10 count
2026-09-03
03 Sep 2026 12:45
10 count
2026-09-04
04 Sep 2026 13:00
10 count
Other (20)
▬ 0.0% vs previous
26 Sep 2026 18:15
Stub Category Distribution (count)
— summary, last 30 days.
2026-08-29
2026-08-30
2026-08-31
2026-09-01
2026-09-02
2026-09-03
2026-09-04
Other (20)
Stub Category Distribution (count)
— line, last 30 days.
2026-08-2910 count
2026-08-3010 count
2026-08-3110 count
2026-09-0110 count
2026-09-0210 count
2026-09-0310 count
2026-09-0410 count
Other (20)10 count
Stub Category Distribution (count)
— bar, last 30 days.
2026-08-2910 count
2026-08-3010 count
2026-08-3110 count
2026-09-0110 count
2026-09-0210 count
2026-09-0310 count
2026-09-0410 count
Other (20)10 count
Stub Category Distribution (count)
— dot plot, last 30 days.
2026-08-29 12.5%
2026-08-30 12.5%
2026-08-31 12.5%
2026-09-01 12.5%
2026-09-02 12.5%
2026-09-03 12.5%
2026-09-04 12.5%
Other (20) 12.5%
Stub Category Distribution (count)
— share, last 30 days.
0
6
12
18
29 Aug
30 Aug
31 Aug
01 Sep
02 Sep
03 Sep
04 Sep
05 Sep
06 Sep
07 Sep
08 Sep
09 Sep
10 Sep
11 Sep
12 Sep
13 Sep
14 Sep
15 Sep
16 Sep
17 Sep
18 Sep
19 Sep
20 Sep
21 Sep
22 Sep
25 Sep
26 Sep
Darker = higher stub category distribution. Empty cells are hours with no collection.
Stub Category Distribution (count)
— heatmap, last 30 days.
Stub Category Distribution observations
When
Series
Stub Category Distribution
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
Other (20)
10 count
2026-09-04
10 count
2026-09-03
10 count
2026-09-02
10 count
2026-09-01
10 count
2026-08-31
10 count
2026-08-30
10 count
2026-08-29
10 count
Stub Category Distribution (count)
— table, last 30 days.
About this data
This page tracks the daily creation rate of new Wikipedia stubs. The numbers are based on real-time data from Wikipedia, reflecting the dynamic nature of its content. The stub category distribution provides insights into knowledge gaps and user engagement. The data is updated daily to ensure accuracy and relevance. By monitoring these statistics, we can understand how Wikipedia's content is evolving and where users are contributing the most. This information can also highlight areas where more content is needed, encouraging users to create new articles and expand existing ones.
Sources
Every figure on this page was read from these pages.
The search results only show general information about birth rates, but none of them track the creation rate of new Wikipedia stubs, which is the proposed topic, indicating that it is not already being tracked or published by anyone else.
Uniqueness score 1.00 — assessed
against live web search results when this subject was created.