homelessness["total"] = homelessness["individuals"] + homelessness["family_members"] # Total column as a sum of individuals and family_members
homelessness["p_individuals"] = homelessness["individuals"] / homelessness["total"] # Add p_individuals col as proportion of individuals
print(homelessness)
homelessness["indiv_per_10k"] = 10000 * homelessness["individuals"] / homelessness["state_pop"] # Create indiv_per_10k col as homeless individuals per 10k state pop
high_homelessness = homelessness[homelessness["indiv_per_10k"] > 20] # Subset rows for indiv_per_10k greater than 20
high_homelessness_srt = high_homelessness.sort_values("indiv_per_10k", ascending=False) # Sort by descending indiv_per_10k
result = high_homelessness_srt[["state", "indiv_per_10k"]] # Select the state and indiv_per_10k columns
print(result)