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Shefa-Amr or Shefar'am (Arabic: شفاعمرو, romanized: Šafāʻamru; Hebrew: שְׁפַרְעָם, romanized: Šəfarʻam) is an Arab city in the Northern District of Israel. In 2024 it had a population of 43,858 with a Sunni Muslim majority and large Christian Arab and Druze minorities.
The analysis highlights History, Geography, Community and Culture as prominent areas in the source structure around Shefa-Amr.
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.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Shefa-Amr shows recurring relationship patterns in the source. For example, Shefa-Amr → According, After, Ali Ibn Abi Talib, Baba, Burj, Byzantine, Christian, Crusader, Daher, Daher's, Fawwar, Galilee, Greek, Greek Catholic, In, It, Jacob's, Jesus, Jewish, Le Seffram Another extracted example is Shefa-Amr → Abbud, AFC Asian CupHenya, Alian, Armaly, Armeli, Asad Azi, Barakeh, Christian Israeli-Palestinian, Golani BrigadeHamad Amar, Israel, Israeli Paralympic, Jewish, Jumana Emil Abboud, KnessetEmile Habibi, KnessetMansour, KnessetRami Hamadeh, Member, Palestine, Palestinian, Pe'at HaShulchan. 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.
city population arab druze village christian galilee fort israel old muslims acre christians jewish built inhabitants muslim church daher's uthman
TTTA extracted 168 structured relationships around Shefa-Amr. Examples in this analysis include Shefa-Amr → Country → Israel and Shefa-Amr → District → Northern. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shefa-Amr | Country | Israel | 1.00 | infobox |
| Shefa-Amr | District | Northern | 1.00 | infobox |
| Shefa-Amr | Founded | Bronze age | 1.00 | infobox |
| Shefa-Amr | Grid position | 166/245 PAL | 1.00 | infobox |
| Shefa-Amr | Natural Region | Shefar'am | 1.00 | infobox |
| Shefa-Amr | Subdistrict | Acre | 1.00 | infobox |
| Shefa-Amr | Website | www.shefaram.muni.il | 1.00 | infobox |
| Shefa-Amr | • Density | 2,218.9/km2 (5,746.8/sq mi) | 1.00 | infobox |
| Shefa-Amr | • English Official | Shefar'am | 1.00 | infobox |
| Shefa-Amr | • ISO 259 | Šparˁam | 1.00 | infobox |
| Shefa-Amr | • Mayor | Nahid Khazem (from March, 2024) | 1.00 | infobox |
| Shefa-Amr | • Total | 19,766 dunams (19.766 km2; 7.632 sq mi) | 1.00 | infobox |
| Shefa-Amr | • Total | 43,858 | 1.00 | infobox |
The concept neighborhoods around Shefa-Amr bring nearby vocabulary together. In this analysis, examples include Jewish, Daher and Community. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Shefa-Amr, one of the stronger structural bridges in this analysis connects Shefa-Amr with Overview. 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 Shefa-Amr to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Culture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Shefa-Amr · EN edition · Analysis: TopicsToTalkAbout