code: def aggregate_national_estimates_by_district(self):
          
          data = {}
          fips = "00"
          aggregated_labels = []
          states = Division.objects.filter(level=self.DISTRICT_LEVEL)
          estimates = CensusEstimate.objects.filter(
              division__level=self.DISTRICT_LEVEL
          )
          for estimate in estimates:
              series = estimate.variable.table.series
              year = estimate.variable.table.year
              table = estimate.variable.table.code
              label = estimate.variable.label.label
              table_label = "{}{}".format(table, label)
              code = estimate.variable.code
              if series not in data:
                  data[series] = {}
              if year not in data[series]:
                  data[series][year] = {}
              if table not in data[series][year]:
                  data[series][year][table] = {}
              if fips not in data[series][year][table]:
                  data[series][year][table][fips] = {}
              if label is not None:
                  if table_label not in aggregated_labels:
                      # c= {**a, **b}
                      aggregated_labels.append(table_label)
                      data[series][year][table][fips][label] = [
                          self.aggregate_variable(estimate, division.id)
                          for division in states
                          if len(
                              CensusEstimate.objects.filter(
                                  variable=estimate.variable,
                                  division=division.id,
                              )
                          )
                          > 0
                      ]
              else:
                  if code in data[series][year][table][fips]:
                      data[series][year][table][fips][code].append(
                          estimate.estimate
                      )
                  else:
                      data[series][year][table][fips][code] = [estimate.estimate]
          # print(data)
          return data
docs: Aggregates district-level estimates for each table within the country.
  
          Creates data structure designed for an export in this format:
          ...{series}/{year}/{table}/districts.json