Solve the following sql problem:
What is the age of female customers within the number of inhabitants below 30?

Schema:
SCHEMA:
- Table: Demog
  - Column: GEOID
    - Samples: [0, 1, 2, 3, 4]
  - Column: INHABITANTS_K
    - Samples: [30.046, 36.25, 47.645, 15.417, 18.104]
  - Column: INCOME_K
    - Samples: [2631.47, 3012.75, 2192.41, 2343.51, 2694.33]
  - Column: A_VAR1
    - Samples: [6.084, 4.604, 4.911, 6.2, 2.867]
  - Column: A_VAR2
    - Samples: [5.79, 8.309, 8.557, 5.623, 4.155]
  - Column: A_VAR3
    - Samples: [8.595, 6.007, 5.934, 8.55, 5.951]
  - Column: A_VAR4
    - Samples: [3.935, 5.938, 6.494, 3.959, 6.765]
  - Column: A_VAR5
    - Samples: [6.362, 8.773, 9.172, 6.52, 7.846]
  - Column: A_VAR6
    - Samples: [8.626, 3.579, 3.202, 8.089, 5.578]
  - Column: A_VAR7
    - Samples: [4.624, 6.349, 6.157, 4.32, 2.41]
  - Column: A_VAR8
    - Samples: [8.324, 4.694, 4.822, 8.694, 8.007]
  - Column: A_VAR9
    - Samples: [5.233, 6.884, 7.942, 5.217, 6.703]
  - Column: A_VAR10
    - Samples: [6.232, 7.062, 7.901, 6.627, 7.467]
  - Column: A_VAR11
    - Samples: [5.205, 7.319, 7.928, 5.493, 3.827]
  - Column: A_VAR12
    - Samples: [8.231, 3.72, 2.33, 8.73, 7.153]
  - Column: A_VAR13
    - Samples: [6.746, 6.405, 6.029, 6.713, 7.105]
  - Column: A_VAR14
    - Samples: [8.679, 7.202, 6.455, 8.851, 8.161]
  - Column: A_VAR15
    - Samples: [5.292, 4.932, 4.72, 5.198, 6.535]
  - Column: A_VAR16
    - Samples: [3.5, 7.969, 8.564, 3.313, 6.093]
  - Column: A_VAR17
    - Samples: [5.512, 8.15, 8.342, 5.076, 7.246]
  - Column: A_VAR18
    - Samples: [5.783, 5.633, 4.938, 5.796, 8.433]
- Table: mailings3
  - Column: REFID
    - Samples: [60000, 60001, 60002, 60003, 60004]
  - Column: REF_DATE
    - Samples: [2007-07-01 12:00:00.0, 2007-07-01 12:00:00.0, 2007-07-01 12:00:00.0, 2007-07-01 12:00:00.0, 2007-07-01 12:00:00.0]
  - Column: RESPONSE
    - Samples: [false, false, false, false, false]
- Table: Customers
  - Column: ID
    - Samples: [0, 1, 2, 3, 4]
  - Column: SEX
    - Samples: [Male, Male, Male, Female, Male]
  - Column: MARITAL_STATUS
    - Samples: [Never-married, Married-civ-spouse, Never-married, Divorced, Married-civ-spouse]
  - Column: GEOID
    - Samples: [61, 70, 53, 79, 46]
  - Column: EDUCATIONNUM
    - Samples: [7, 3, 7, 4, 4]
  - Column: OCCUPATION
    - Samples: [Machine-op-inspct, Handlers-cleaners, Machine-op-inspct, Exec-managerial, Handlers-cleaners]
  - Column: age
    - Samples: [62, 78, 69, 53, 85]
- Table: Mailings1_2
  - Column: REFID
    - Samples: [0, 1, 2, 3, 4]
  - Column: REF_DATE
    - Samples: [2007-02-01 12:00:00.0, 2007-02-01 12:00:00.0, 2007-02-01 12:00:00.0, 2007-02-01 12:00:00.0, 2007-02-01 12:00:00.0]
  - Column: RESPONSE
    - Samples: [false, false, false, true, false]
- Table: Sales
  - Column: EVENTID
    - Samples: [0, 1, 2, 3, 4]
  - Column: REFID
    - Samples: [0, 0, 0, 0, 0]
  - Column: EVENT_DATE
    - Samples: [2006-12-21 12:00:00.0, 2006-12-25 12:00:00.0, 2007-01-26 12:00:00.0, 2006-12-26 12:00:00.0, 2007-01-17 12:00:00.0]
  - Column: AMOUNT
    - Samples: [17.907, 17.401, 13.277, 13.197, 15.001]

SELECT age FROM Customers WHERE GEOID IN ( SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30 ) AND SEX = 'Female'