If you can't get a DEXA scan there is an equation published in December of 2021 which approximates it well:
The new equation [%BFNew = 6.083 + (0.143 × SSnew) - (12.058 × sex) - (0.150 × age) - (0.233 × body mass index) + (0.256 × waist) + (0.162 × sex × age)] explained a significant proportion of variance in %BF5C (R2 = 0.775, SEE = 4.0%). Predictors included sum of skinfolds (SSnew, midaxillary, triceps, and thigh) and waist circumference. The new equation cross-validated well against %BF5C when compared with other existing equations, producing a large intraclass correlation coefficient (0.90), small mean bias and limits of agreement (0.4% ± 8.6%), and small measures of error (SEE = 2.5%).
Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model
Zackary S Cicone, Brett S Nickerson 1, Youn-Jeng Choi 2, Clifton J Holmes 3, Bjoern Hornikel 4, Michael V Fedewa 4, Michael R Esco 4
Affiliations expand
PMID: 34310492 PMCID: PMC8785250 (available on 2022-12-01) DOI: 10.1249/MSS.0000000000002754
The new equation [%BFNew = 6.083 + (0.143 × SSnew) - (12.058 × sex) - (0.150 × age) - (0.233 × body mass index) + (0.256 × waist) + (0.162 × sex × age)] explained a significant proportion of variance in %BF5C (R2 = 0.775, SEE = 4.0%). Predictors included sum of skinfolds (SSnew, midaxillary, triceps, and thigh) and waist circumference. The new equation cross-validated well against %BF5C when compared with other existing equations, producing a large intraclass correlation coefficient (0.90), small mean bias and limits of agreement (0.4% ± 8.6%), and small measures of error (SEE = 2.5%).
Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model Zackary S Cicone, Brett S Nickerson 1, Youn-Jeng Choi 2, Clifton J Holmes 3, Bjoern Hornikel 4, Michael V Fedewa 4, Michael R Esco 4 Affiliations expand PMID: 34310492 PMCID: PMC8785250 (available on 2022-12-01) DOI: 10.1249/MSS.0000000000002754
https://pubmed.ncbi.nlm.nih.gov/34310492/