Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| county        |   per capita income |   median household income |   median family income |   population |   number of households |
|:--------------|--------------------:|--------------------------:|-----------------------:|-------------:|-----------------------:|
| los alamos    |               49474 |                    103643 |                 118993 |        17950 |                   7663 |
| santa fe      |               32188 |                     52696 |                  64041 |       144170 |                  61963 |
| united states |               27334 |                     51914 |                  62982 |    308745538 |              116716292 |
| bernalillo    |               26143 |                     47481 |                  59809 |       662564 |                 266000 |
| sandoval      |               25979 |                     57158 |                  65906 |       131561 |                  47602 |
| eddy          |               24587 |                     46583 |                  56646 |        53829 |                  20411 |
| lincoln       |               24290 |                     43750 |                  53871 |        20497 |                   9219 |
| new mexico    |               22966 |                     43820 |                  52565 |      2059179 |                 791395 |
| taos          |               22145 |                     35441 |                  43236 |        32937 |                  14806 |
| mora          |               22035 |                     37784 |                  42122 |         4881 |                   2114 |
| grant         |               21164 |                     36591 |                  44360 |        29514 |                  12586 |
| colfax        |               21047 |                     39216 |                  48450 |        13750 |                   6011 |
| catron        |               20895 |                     31914 |                  40906 |         3725 |                   1787 |
| de baca       |               20769 |                     30643 |                  36618 |         2022 |                    912 |
| san juan      |               20725 |                     46189 |                  53540 |       130044 |                  44404 |
| valencia      |               19955 |                     42044 |                  48767 |        76569 |                  27500 |
| curry         |               19925 |                     38090 |                  48933 |        48376 |                  18015 |
| rio arriba    |               19913 |                     41437 |                  47840 |        40246 |                  15768 |
| lea           |               19637 |                     43910 |                  48980 |        64727 |                  22236 |
| otero         |               19255 |                     39615 |                  46210 |        63797 |                  24464 |
| union         |               19228 |                     39975 |                  41687 |         4549 |                   1695 |
| san miguel    |               18508 |                     32213 |                  42888 |        29393 |                  11978 |
| chaves        |               18504 |                     37524 |                  43464 |        65645 |                  23691 |
| doã±a ana     |               18315 |                     36657 |                  43184 |       209233 |                  75532 |
| quay          |               18234 |                     28773 |                  41766 |         9041 |                   4072 |
| socorro       |               17801 |                     33284 |                  41964 |        17866 |                   7014 |
| hidalgo       |               17451 |                     36733 |                  41594 |         4894 |                   1936 |
| torrance      |               17278 |                     37117 |                  43914 |        16383 |                   6264 |
| roosevelt     |               16933 |                     37762 |                  43536 |        19846 |                   7299 |
| sierra        |               16667 |                     25583 |                  38641 |        11988 |                   5917 |
| luna          |               15687 |                     27997 |                  33312 |        25095 |                   9593 |
| cibola        |               14712 |                     37361 |                  41187 |        27213 |                   8860 |
| harding       |               14684 |                     33750 |                  56563 |          695 |                    349 |
| guadalupe     |               13710 |                     28488 |                  37535 |         4687 |                   1766 |
| mckinley      |               12932 |                     31335 |                  37345 |        71492 |                  21968 |

Question:
How many counties have a per capita income between $18,000 and $27,000?


id: fc54ee44f3ad6ef357adb7681ae26e35
qtype: NumericalReasoning
label: 22