Inflows, outflows, and net flows of foreign direct investment (FDI) Flows into Malaysia.
0 views·0 downloads
FDI into Malaysia is a category of investment by non-residents that reflects the objective of obtaining a lasting interest in Malaysia. Financial instruments covered under direct investment include equity, reinvestment of earnings and debt instruments (such as inter-company loans and advances, trade credits). FDI statistics for Malaysia are compiled as part of the balance of payments, which is compiled based on the IMF's BPM6 guidelines. For a full description of the methodology, please refer to the Technical Notes, particularly the definitions relating to FDI.
Values for the most recent 8 quarters may be revised in future releases.
Balance of Payments, 2Q 2024, the latest edition of the quarterly BOP statistics published by DOSM. OpenDOSM also features a dashboard on BOP which enables you to explore Malaysia's BOP data interactively.
Inflows, outflows, and net flows of foreign direct investment (FDI) Flows into Malaysia.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format. The earliest date in the quarter is chosen, e.g. YYYY-01-01 for the 1st quarter and YYYY-04-01 for the 2nd quarter. |
inflow (Float, RM bil) | FDI Inflows | Inflows of FDI during the period |
outflow (Float, RM bil) | FDI Outflows | Outflows of FDI during the period |
net (Float, RM bil) | Net FDI Flows | Net flows of FDI, calculated as inflows minus outflows |
16 Aug 2024, 12:00
15 Nov 2024, 12:00
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.dosm.gov.my/bop/fdi_flows.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=fdi_flows&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2024 Public Sector Open Data