I need a dataset that can be used to build imputation models upon and that is also a "common-sense" data such as countries econometrics, Forbes2000 etc. That is, I am not interested either in customer survey datasets or sensor dataset. I have already tried to compile countries econometrics dataset which include fields such as gdp, gdp per capita, population, internet penetration rate, poverty etc. to impute missing poverty rates for example.
Unfortunately, all of the different techniques I have tried failed utterly and produced no meaningful models. I have also tried Forbes2000 datasets to predict market value of a company based on other available information on the aforementioned dataset. Although somewhat better than the econometrics dataset, this also failed with no reproducible models with a high predictive power.
Now I am stuck, since I can not find any other dataset that has "common-sense" data (for a lack of a better word) and also machine-learnable. If you could advise any hints, it would be appreciated.