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Pune Division (better known as Paschim Maharashtra or Desh) is one of the six administrative divisions of the Indian State of Maharashtra. Pune Division is bound by Konkan Division to the west, Nashik Division to the north, Aurangabad Division to the east, and the state of Karnataka to the south.
The analysis highlights History and Community as prominent areas in the source structure around Pune division.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Pune division shows recurring relationship patterns in the source. For example, Pune division → Bengali, Census, Gujarati, Hindi, India, Kannada, Karnataka, Marathi, Marwari, Muslim, Telugu, Urdu Another extracted example is Pune division → According, Census, Kolhapur, Pune, Sangli, Satara, Solapur. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
pune division sangli satara maharashtra district ias kolhapur mr solapur state census kannada india dr districts 2011 also well citation
TTTA extracted 53 structured relationships around Pune division. Examples in this analysis include Pune division → Country → India and Pune division → Districts → 1. Pune, 2. Kolhapur, 3. Sangli, 4. Satara, 5. Solapur. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pune division | Country | India | 1.00 | infobox |
| Pune division | Districts | 1. Pune, 2. Kolhapur, 3. Sangli, 4. Satara, 5. Solapur | 1.00 | infobox |
| Pune division | Literacy (2001 Census) | 76.95% | 1.00 | infobox |
| Pune division | Main crops | Jowar, wheat, bajra, sugarcane, rice, soybean, onion, groundnut, vegetables, turmeric, grape, pomegranate | 1.00 | infobox |
| Pune division | State | Maharashtra | 1.00 | infobox |
| Pune division | • All District Collectors, Pune Division | Mr. Dr. Rajesh Deshmukh (IAS) | 1.00 | infobox |
| Pune division | • All District Collectors, Pune Division | Mr. Rahul Rekhawar (IAS) | 1.00 | infobox |
| Pune division | • All District Collectors, Pune Division | Mr. Dr. Abhijeet Chaudhari (IAS) | 1.00 | infobox |
| Pune division | • All District Collectors, Pune Division | Mr. Shekhar Singh (IAS) | 1.00 | infobox |
| Pune division | • All District Collectors, Pune Division | Mr. Milind Shambharkar (IAS) | 1.00 | infobox |
| Pune division | • All Guardian Minister, Pune Division | Ajit Pawar | 1.00 | infobox |
| Pune division | • All Guardian Minister, Pune Division | Hasan Mushrif | 1.00 | infobox |
| Pune division | • All Guardian Minister, Pune Division | Jayant Patil | 1.00 | infobox |
| Pune division | • All Guardian Minister, Pune Division | Shamrao Pandurang Patil | 1.00 | infobox |
| Pune division | • All Guardian Minister, Pune Division | Dattatray Vithoba Bharne | 1.00 | infobox |
| Pune division | • All MPs, Pune Division | NA | 1.00 | infobox |
| Pune division | • Commissioner Pune Division | Dr. Chandrakant L. Pulkundwar (IAS) | 1.00 | infobox |
| Pune division | • Per capita | ₹307,120 (US$4,144.69) | 1.00 | infobox |
| Pune division | • Police Commissioner, Pune Division | NA | 1.00 | infobox |
| Pune division | • Total | 58,268 km2 (22,497 sq mi) | 1.00 | infobox |
| Pune division | • Total | 23,449,049 | 1.00 | infobox |
| Pune division | • Total | ₹9.24 trillion (US$124.68 billion) | 1.00 | infobox |
| Pune division | • Under irrigation | 8,896 km2 (3,435 sq mi) | 1.00 | infobox |
The concept neighborhoods around Pune division bring nearby vocabulary together. In this analysis, examples include Pune, Satara and Census. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pune division, one of the stronger structural bridges in this analysis connects Pune division with History of administrative districts in Pune Division. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Pune division to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pune division · EN edition · Analysis: TopicsToTalkAbout