## 13 Fiscal Data Analysis

> Interfaces implemented in this chapter are listed below; uncovered indicators are noted under “To be added” at the end.

#### Fiscal revenue

Interface: macro_china_czsr

Source URL: http://data.eastmoney.com/cjsj/czsr.html

Description: China fiscal revenue; monthly data from 200801 to present

Limits: Returns all historical data in a single call

Input

| Name | Type | Description |
|-----|-----|-----|
| -   | -   | -   |

Output

| Name | Type | Description |
|---------|---------|----------|
| Month | object | - |
| Current month | float64 | Unit: 100 million yuan |
| Current month-YoY | float64 | Unit: % |
| Current month-MoM | float64 | Unit: % |
| Cumulative | float64 | Unit: 100 million yuan |
| Cumulative-YoY | float64 | Unit: % |

Example

```python
import meshare as ms

macro_china_czsr_df = ms.macro_china_czsr()
print(macro_china_czsr_df)
```

Sample data

```
       Month         Current month    Current month-YoY  Current month-MoM  Cumulative  Cumulative-YoY
0    Jan 2008   7396.64  42.352305  135.212710    7396.64     42.4
1    Feb 2008   4158.75  36.552139  -43.775147   11555.39     40.2
2    Mar 2008   4415.95  24.671449    6.184551   15971.34     35.5
3    Apr 2008   6824.88  17.016465   54.550663   22796.22     29.4
4    May 2008   6268.15  52.602556   -8.157360   29064.37     33.8
..         ...       ...        ...         ...        ...      ...
201  May 2025  16007.00   0.131365  -21.638028   96623.00     -0.3
202  Jun 2025  18943.00  -0.305247   18.341975  115566.00     -0.3
203  Jul 2025  20273.00   2.648101    7.021063  135839.00      0.1
204  Aug 2025  12359.00   2.030876  -39.037143  148198.00      0.3
205  Sep 2025  15678.00   2.584571   26.854924  163876.00      0.5
[206 rows x 6 columns]
```

#### National tax revenue

Interface: macro_china_national_tax_receipts

Source URL: http://data.eastmoney.com/cjsj/nationaltaxreceipts.aspx

Description: China national tax revenue; data from Q1 2005 to present

Limits: Returns all historical data in a single call

Input

| Name | Type | Description |
|-----|-----|-----|
| -   | -   | -   |

Output

| Name | Type | Description |
|--------|---------|----------|
| Quarter | object | Date |
| Total tax revenue | float64 | Unit: 100 million yuan |
| YoY | float64 | Unit: % |
| QoQ | float64 | - |

Example

```python
import meshare as ms

macro_china_national_tax_receipts_df = ms.macro_china_national_tax_receipts()
print(macro_china_national_tax_receipts_df)
```

Sample data

```
             Quarter     Total tax revenue  YoY      QoQ
0   2022 Q1–Q3  124365.00  -11.6  0.171811
1   2022 Q1–Q2   85564.00  -14.8 -0.368718
2     2022 Q1   52452.00    7.7  0.637641
3   2021 Q1–Q4  172731.00   11.9 -0.204070
4   2021 Q1–Q3  140702.00   18.4 -0.222216
..          ...        ...    ...       ...
64  2006 Q1–Q2   18484.80   22.0  0.142837
65    2006 Q1    8626.32   19.0       NaN
66  2005 Q1–Q3   21855.35   15.9 -0.151249
67  2005 Q1–Q2   15149.73   13.4  0.089860
68    2005 Q1    7249.16   10.7       NaN
```

#### To be added

Government funds, land-transfer fees, and special-purpose / special treasury bond issuance progress are not yet wrapped.