Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Transit Costs Project | 5 | — | 0 | 6 | 6 100% |
| Italy | 3 | — | 0 | 3 | 3 100% |
| Istanbul | 2 | — | 0 | 2 | 2 100% |
| Transit Costs | 2 | — | 0 | 3 | 3 100% |
| New York | 1 | — | 0 | 1 | 1 100% |
| In our case study | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| big report | 1 | — | 0 | 1 | 1 100% |
| uniformly incapable of executing on major public works projects | 1 | — | 0 | 1 | 1 100% |
| Alon Levy and Devin Wilkins | 1 | — | 0 | 1 | 1 100% |
| Transit Cost Project | 1 | — | 0 | 1 | 1 100% |
| https://transitcosts.com/high-speed-rail-preliminary-data-analysis/ | 1 | — | 0 | 1 | 0 0% |
| Soft costs, including delays and misaligned planning, now account for | 1 | — | 0 | 1 | 1 100% |
| A Better Billion: Expanding Transit & Housing for a More Affordable New York | 1 | — | 0 | 1 | 1 100% |
| several times what other countries pay | 1 | — | 0 | 1 | 1 100% |
| spend more | 1 | — | 0 | 1 | 1 100% |
| A Better Billion | 1 | — | 0 | 1 | 1 100% |
| costó 1.200 millones de dólares más e insumió tres décadas | 1 | — | 0 | 1 | 1 100% |
| Sweden | 1 | — | 0 | 1 | 1 100% |
| Boston | 1 | — | 0 | 1 | 1 100% |
| global transit costs | 1 | — | 0 | 1 | 1 100% |
| varies significantly across countries, | 1 | — | 0 | 1 | 1 100% |
| 1 | — | 0 | 1 | 1 100% | |
| multi-year study | 1 | — | 0 | 1 | 1 100% |
| then conducting a focused, faster review | 1 | — | 0 | 1 | 1 100% |
| our reports about construction costs in New York and Boston | 1 | — | 0 | 1 | 1 100% |
| Green Line Extension | 1 | — | 0 | 1 | 1 100% |
| $1.7 billion per-kilometer price tag | 1 | — | 0 | 1 | 1 100% |
| 20 | 1 | — | 0 | 1 | 0 0% |
| Studies have shown | 1 | — | 0 | 1 | 0 0% |
| its high construction costs | 1 | — | 0 | 1 | 1 100% |
| today’s high costs | 1 | — | 0 | 2 | 2 100% |
| data | 1 | — | 0 | 1 | 1 100% |
| Transit Costs Project at NYU’s Marron Institute | 1 | — | 0 | 1 | 1 100% |
| extensive report | 1 | — | 0 | 1 | 1 100% |
| Transit costs project logo | 1 | — | 0 | 2 | 2 100% |
| massive amounts of data | 1 | — | 0 | 1 | 1 100% |
| report from New York University’s Transit Costs Project | 1 | — | 0 | 1 | 1 100% |
| transitcosts.com | 1 | — | 0 | 1 | 1 100% |
| https://transitcosts.com | 1 | — | 0 | 1 | 1 100% |
| cost $484 million per mile | 1 | — | 0 | 1 | 1 100% |
| $626 million per-kilometer nationwide | 1 | — | 0 | 1 | 1 100% |
| analysis | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to transitcosts.com?
This page shows all anchor texts found in backlinks pointing to transitcosts.com, 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 transitcosts.com.
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 transitcosts.com have?
The anchor text report for transitcosts.com 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.