NonprofitResearchUnited States
National Court Reporters Association is a nonprofit in research founded in 1899[1] and based in Vienna, United States[1].
“NCRA is internationally recognized as the premier educational and informational resource for its members and the public. Through its actively involved membership, the association impacts legislative issues and the global marketplace.”[2]
Each with its fit to National Court Reporters Association, from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. 85% and above is a direct peer, 70 to 85 close, 60 to 70 related; under 65 is left out, so there may be few. Open a row for its breakdown.
Nonprofit · Education and research · United States
Organization
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to National Court Reporters Association's, against an ordinary organization. | 99% | 60% | +59.3 |
| IndustrySame sector | 44% | 30% | +13.2 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 78% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Research · United States
The National Environmental Education Foundation (NEEF) is the nation’s leading organization in lifelong environmental learning. NEEF builds effective public-private partnerships and develops programs and initiatives that advance environmental education and engagement in the United States.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to National Court Reporters Association's, against an ordinary organization. | 70% | 60% | +41.8 |
| IndustrySame industry | 65% | 30% | +19.4 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
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