## 03 Infrastructure Analysis

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

#### Infrastructure investment

Interface: macro_china_infra_invest

Source URL: https://www.stats.gov.cn/sj/zxfb/

Description: Extracts cumulative YoY of “infrastructure investment” from the body of NBS monthly press releases on “Basic information on national fixed-asset investment”. Recent releases mostly use Footnote 1 scope (see Footnote 1 in each release for industry coverage; growth rates on a comparable basis); some earlier releases use the narrower wording “excluding production and supply of electricity, heat, gas and water”. The returned table includes “Scope” and “Source URL”. The national monthly database generally has no standalone series for this. Coverage depends on which releases remain accessible in the latest publication list.

Limits: Scans the latest publication list and parses matching monthly FAI releases

Input

| Name | Type | Description |
|----|----|----|
| max_pages | int | Max pages to scan in the list; default `80` |

Output

| Name | Type | Description |
|----|----|----|
| Month | object | Cumulative period end month, e.g. `2026-06` means Jan–Jun |
| Infrastructure investment cumulative YoY | float64 | Unit: %; decline is negative |
| Scope | object | `Footnote 1 scope` / `Excl. electricity (narrow)` / `Other wording` |
| News title | object | - |
| Source URL | object | Press release URL |

Example

```python
import meshare as ms

df = ms.macro_china_infra_invest()
print(df)

df = ms.macro_china_infra_invest(max_pages=40)
print(df[["月份", "基础设施投资累计同比", "口径", "来源链接"]])
```

#### Construction materials index

Interface: macro_china_construction_index

Source URL: https://data.eastmoney.com/cjsj/hyzs_list_EMI00662541.html

Description: Construction materials index; data from 20111205 to present

Limits: Returns all historical data in a single call

Input

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

Output

| Name | Type | Description |
|--------|---------|---------|
| Date | object | - |
| Latest | int64 | - |
| Change % | float64 | Unit: % |
| 3M change % | float64 | Unit: % |
| 6M change % | float64 | Unit: % |
| 1Y change % | float64 | Unit: % |
| 2Y change % | float64 | Unit: % |
| 3Y change % | float64 | Unit: % |

Example

```python
import meshare as ms

macro_china_construction_index_df = ms.macro_china_construction_index()
print(macro_china_construction_index_df)
```

Sample data

```
         Date   Latest       Change %  ...    1Y change %     2Y change %     3Y change %
0     2011-12-05  1014       NaN  ...       NaN        NaN        NaN
1     2011-12-12  1013 -0.098619  ...       NaN        NaN        NaN
2     2011-12-19  1005 -0.789733  ...       NaN        NaN        NaN
3     2011-12-26   993 -1.194030  ...       NaN        NaN        NaN
4     2012-01-02   991 -0.201410  ...       NaN        NaN        NaN
          ...   ...       ...  ...       ...        ...        ...
3179  2024-03-31   962  0.000000  ... -8.901515 -25.077882 -23.285486
3180  2024-04-01   958 -0.415800  ... -9.280303 -25.505443 -23.726115
3181  2024-04-02   960  0.208768  ... -9.090909 -25.407925 -24.170616
3182  2024-04-03   960  0.000000  ... -9.176916 -25.407925 -24.170616
3183  2024-04-04   960  0.000000  ... -8.745247 -25.407925 -24.170616
[3184 rows x 8 columns]
```

#### Construction materials price index

Interface: macro_china_construction_price_index

Source URL: https://data.eastmoney.com/cjsj/hyzs_list_EMI00237146.html

Description: Construction materials price index; data from 20100615 to present

Limits: Returns all historical data in a single call

Input

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

Output

| Name | Type | Description |
|--------|---------|---------|
| Date | object | - |
| Latest | int64 | - |
| Change % | float64 | Unit: % |
| 3M change % | float64 | Unit: % |
| 6M change % | float64 | Unit: % |
| 1Y change % | float64 | Unit: % |
| 2Y change % | float64 | Unit: % |
| 3Y change % | float64 | Unit: % |

Example

```python
import meshare as ms

macro_china_construction_price_index_df = ms.macro_china_construction_price_index()
print(macro_china_construction_price_index_df)
```

Sample data

```
       Date        Latest    Change %  ...    1Y change %   2Y change %  3Y change %
0     2010-06-15  1230.40       NaN  ...       NaN       NaN       NaN
1     2010-06-16  1245.10  1.194733  ...       NaN       NaN       NaN
2     2010-08-01  1281.60  2.931491  ...       NaN       NaN       NaN
3     2010-08-02  1214.90 -5.204432  ...       NaN       NaN       NaN
4     2010-08-03  1218.90  0.329245  ...       NaN       NaN       NaN
          ...      ...       ...  ...       ...       ...       ...
3841  2022-02-25  1099.01  1.567395  ...  1.467995  1.493295  2.177410
3842  2022-02-26  1088.05 -0.997261  ...  0.456094  0.481142  1.521824
3843  2022-02-27  1097.41  0.860255  ...  1.120479  1.345536  2.198733
3844  2022-02-28  1088.05 -0.852917  ...  0.977244  0.481142  1.549302
3845  2022-03-01  1097.41  0.860255  ...  1.419528  0.749139  2.051425
```

#### To be added

Special-purpose bond progress, urban investment bond net financing, cement kiln utilization, etc. are not yet wrapped; official infrastructure growth is available via the “Infrastructure investment” press-release extraction interface (coverage limited by how long list items remain on the site).