ine.cv

Backlink analytics and domain authority

Anchors
All Dofollow Nofollow UGC DR ▾ Ref. domains ▾ Ref. pages ▾ Links to target ▾
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49 anchors All New Lost
Anchor text Ref. domains ▾ Top DR Ref. pages Links to target Dofollow links
"2010 Census results" 3 0 6 0 0%
original 2 0 3 0 0%
ine.cv 2 0 2 0 0%
Instituto Nacional de Estatistica (INE) 1 0 1 1 100%
«Resumo dos Indicadores RGPH 2010» 1 0 1 0 0%
http://ine.cv/wp-content/uploads/2020/06/sao-vicente2020.pdf 1 0 1 0 0%
“INE Estatísticas do Turismo 2017” 1 0 1 0 0%
Instituto Nacional de Estatistica 1 0 1 1 100%
Milli Statistika İnstitutu 1 0 1 1 100%
Cape Verde, Statistical Yearbook 2015 1 0 1 0 0%
INE - Instituto Nacional de Estatísticas 1 0 1 1 100%
National Statistical Institute 1 0 4 4 100%
https://ine.cv/publicacoes/inquerito-demografico-saude-reprodutiva-isdr-iii-2018/ 1 0 1 1 100%
Cape Verde National Statistics Office 1 0 1 1 100%
http://www.ine.cv/censo/censo2010.aspx 1 0 2 0 0%
https://ine.cv/publicacoes/anuario-estatistico-de-cabo-verde-2020/ 1 0 1 1 100%
2010 Census results 1 0 1 0 0%
Instituto Nacional de Estatística Cabo Verde 1 0 2 0 0%
www.ine.cv/ 1 0 1 1 100%
Cabo Verde National Institute of Statistics (Instituto Nacional de Estadística Cabo Verde) 1 0 1 1 100%
Cabo Verde 1 0 1 1 100%
年度能源白皮书 1 0 1 0 0%
https://www.ine.cv/dircv/index.php/catalog/20 1 0 1 1 100%
RGPH Dados Por Zonas E Lugares 1 0 1 0 0%
"CENSO 2021" 1 0 1 0 0%
Cabo Verde, Statistical Yearbook 2015 1 0 1 0 0%
Censos 2010 1 0 1 0 0%
Portal do Instituto Nacional de Estatística (ine.cv, Nacionaližen statistikan institutan portal). 1 0 1 0 0%
"Estatísticas Por Tema" 1 0 1 0 0%
Instituo Nacional de Estatística 1 0 1 1 100%
Instituto Nacional de Estatísticas 1 0 5 0 0%
Inststituto Nacional De Estatistica 1 0 1 1 100%
http://www.ine.cv/wp-content/uploads/2017/02/anuario-estatistico_cv-2015.pdf 1 0 1 1 100%
«Praia, 27 anos depois. Mais capital, mais desigual» 1 0 1 0 0%
Instituto Nacional de Estadística de Cabo Verde 1 0 1 0 0%
Instituto Nacional de Estatística Cabo Verde 1 0 1 0 0%
INE 1 0 11 11 100%
"Resultados do Censo de 2010" 1 0 1 0 0%
Национален институт за статистика 1 0 1 0 0%
Censo Nacional von Kap Verde 1 0 1 0 0%
Zelenortski Otoci - Instituto Nacional de Estatistica 1 0 1 1 100%
Cabo Verde, 통계연보 2015 1 0 1 0 0%
www.ine.cv 1 0 1 1 100%
"Distribuição da população residente por meio de residência - RGPH 2010" 1 0 1 0 0%
Instituto Nacional de Estatística 1 0 1 1 100%
https://ine.cv/censo_quadros/cabo-verde-corrigido/ 1 0 1 1 100%
2010 Census Summary 1 0 1 0 0%
[LINK] 1 0 2 2 100%
[1] 1 0 1 0 0%
Frequently Asked Questions
What anchor texts are used to link to ine.cv?
This page shows all anchor texts found in backlinks pointing to ine.cv, 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 ine.cv.
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 ine.cv have?
The anchor text report for ine.cv 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.