Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| http://www.stat.gov.tm/ | 12 | — | 0 | 16 | 16 100% |
| Türkmenistanyň Statistika baradaky döwlet komiteti | 2 | — | 0 | 2 | 2 100% |
| О Туркменистане | 2 | — | 0 | 2 | 0 0% |
| "Итоги сплошной переписи населения и жилищного фонда Туркменистана 2022 года" | 2 | — | 0 | 2 | 0 0% |
| stat.gov.tm | 2 | — | 0 | 2 | 0 0% |
| State Statistical Service | 1 | — | 0 | 1 | 1 100% |
| сайте | 1 | — | 0 | 1 | 1 100% |
| Государственный комитет по статистике | 1 | — | 0 | 1 | 1 100% |
| 2022-nji ýylda geçirilen Türkmenistanyň ilatynyň we ýaşaýyş jaý gorunyň uçdantutma ýazuwynyň netijeleri – 1. ILATYŇ SANY WE ÝERLEŞIŞI | 1 | — | 0 | 2 | 0 0% |
| State Committee of Turkmenistan on Statistics | 1 | — | 0 | 2 | 2 100% |
| Социально-экономическое положение города Ашхабада и велаятов за 2013 год | 1 | — | 0 | 1 | 0 0% |
| Turkmenistan - State Committee of Turkmenistan on Statistics | 1 | — | 0 | 1 | 1 100% |
| Türkmenistanyň Statistika baradaky döwlet komiteti | 1 | — | 0 | 6 | 6 100% |
| Türkmenistanyň Statistika | 1 | — | 0 | 1 | 1 100% |
| the State Statistics Committee | 1 | — | 0 | 1 | 1 100% |
| BSGG-nyň STEPS | 1 | — | 0 | 1 | 1 100% |
| resmi habarda bellenýär | 1 | — | 0 | 1 | 1 100% |
| STAT TM 2022 | 1 | — | 0 | 2 | 2 100% |
| Statistics Committee of Turkmenistan | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| State Committee of Turkmenistan of Statistics | 1 | — | 0 | 4 | 4 100% |
| komiteti | 1 | — | 0 | 1 | 1 100% |
| рекомендовала | 1 | — | 0 | 1 | 1 100% |
| опубликовал | 1 | — | 0 | 1 | 1 100% |
| Turkmenistan - State Statistical Committee | 1 | — | 0 | 1 | 1 100% |
| https://www.stat.gov.tm/population-census-pdfs/results/ru/4.pdf | 1 | — | 0 | 2 | 0 0% |
| Госкомитет | 1 | — | 0 | 1 | 1 100% |
| Итоги сплошной переписи населения и жилищного фонда Туркменистана 2022 года | 1 | — | 0 | 1 | 0 0% |
| Государственный комитет Туркменистана по статистике | 1 | — | 0 | 6 | 6 100% |
| stat.png | 1 | — | 0 | 1 | 1 100% |
| «Türkmenobahyzmat» döwlet birleşigi | 1 | — | 0 | 2 | 2 100% |
| Государственный комитет по статистике Туркменистана | 1 | — | 0 | 1 | 1 100% |
| Stat ru.png | 1 | — | 0 | 1 | 1 100% |
| Государственный комитет Туркменистана по статистике : Информация о Туркменистане: О Туркменистане | 1 | — | 0 | 1 | 0 0% |
| Государственный комитет Туркменистана по статистике. Административно-территориальное деление Туркменистана по регионам по состоянию на 1 января 2014 года. | 1 | — | 0 | 1 | 0 0% |
Frequently Asked Questions
What anchor texts are used to link to stat.gov.tm?
This page shows all anchor texts found in backlinks pointing to stat.gov.tm, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe stat.gov.tm.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does stat.gov.tm have?
The anchor text report for stat.gov.tm displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.