Securities Other Than Shares, Liabilities of Central Bank: Securities in Philippines
Philippines: Securities Other Than Shares, Liabilities of Central Bank: Securities was 0 in 2007. ◆ Volatile
Securities Other Than Shares, Liabilities of Central Bank: Securities in Philippines, 1950–2007
Source: International Monetary Fund.
Analysis
In 2007, securities other than shares, liabilities of central bank: securities in Philippines stood at 0. That is the lowest value across all 58 years on record.
Over the whole period, securities other than shares, liabilities of central bank: securities in Philippines peaked at 63.75 billion in 1992 and was at its lowest, 0, in 1950.
That places Philippines 17th out of 91 countries with data for 2007, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Securities Other Than Shares, Liabilities of Central Bank: Securities in Philippines, year by year
| Year | Value | Change |
|---|---|---|
| 1950 | 0 | — |
| 1951 | 0 | — |
| 1952 | 0 | — |
| 1953 | 0 | — |
| 1954 | 0 | — |
| 1955 | 0 | — |
| 1956 | 0 | — |
| 1957 | 0 | — |
| 1958 | 0 | — |
| 1959 | 0 | — |
| 1960 | 0 | — |
| 1961 | 0 | — |
| 1962 | 0 | — |
| 1963 | 0 | — |
| 1964 | 0 | — |
| 1965 | 0 | — |
| 1966 | 0 | — |
| 1967 | 0 | — |
| 1968 | 0 | — |
| 1969 | 0 | — |
| 1970 | 0 | — |
| 1971 | 0 | — |
| 1972 | 0 | — |
| 1973 | 0 | — |
| 1974 | 0 | — |
| 1975 | 0 | — |
| 1976 | 0 | — |
| 1977 | 0 | — |
| 1978 | 0 | — |
| 1979 | 0 | — |
| 1980 | 0 | — |
| 1981 | 0 | — |
| 1982 | 0 | — |
| 1983 | 622.00 million | — |
| 1984 | 0 | -100.0% |
| 1985 | 0 | — |
| 1986 | 0 | — |
| 1987 | 499.10 million | — |
| 1988 | 2.91 billion | +482.6% |
| 1989 | 2.57 billion | -11.6% |
| 1990 | 1.12 billion | -56.3% |
| 1991 | 21.14 billion | +1783.1% |
| 1992 | 63.75 billion | +201.6% |
| 1993 | 22.48 billion | -64.7% |
| 1994 | 3.63 billion | -83.8% |
| 1995 | 554.00 million | -84.8% |
| 1996 | 168.00 million | -69.7% |
| 1997 | 0 | -100.0% |
| 1998 | 0 | — |
| 1999 | 0 | — |
| 2000 | 1.00 million | — |
| 2001 | 0 | -100.0% |
| 2002 | 0 | — |
| 2003 | 0 | — |
| 2004 | 0 | — |
| 2005 | 0 | — |
| 2006 | 0 | — |
| 2007 | 0 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 0 | 0 | 0 | 10 |
| 1960s | 0 | 0 | 0 | 10 |
| 1970s | 0 | 0 | 0 | 10 |
| 1980s | 659.96 million | 0 | 2.91 billion | 10 |
| 1990s | 11.28 billion | 0 | 63.75 billion | 10 |
| 2000s | 125,000 | 0 | 1.00 million | 8 |
Countries ranked near Philippines
- 14 Mongolia 62.64 million compare
- 15 Guatemala 59.79 million compare
- 16 Suriname 47.47 million compare
- 17 Anguilla 0
- 17 Albania 0
- 17 Armenia 0
- 17 Antigua and Barbuda 0
- 17 Azerbaijan 0
- 17 Burundi 0
- 17 Bangladesh 0
- 17 Belarus 0 compare
- 17 Belize 0
- 17 Bolivia, Plurinational State of 0
- 17 Brazil 0 compare
- 17 Brunei Darussalam 0
- 17 Bhutan 0
- 17 Botswana 0 compare
- 17 Canada 0
- 17 Colombia 0 compare
- 17 Cape Verde 0
- 17 Dominica 0
- 17 Algeria 0
- 17 Egypt 0
- 17 Eritrea 0
- 17 Fiji 0 compare
- 17 Georgia 0
- 17 Grenada 0
- 17 Guyana 0
- 17 Croatia 0
- 17 Haiti 0
- 17 Indonesia 0
- 17 Iraq 0
- 17 Jordan 0 compare
- 17 Japan 0
- 17 Kazakhstan 0 compare
- 17 Kenya 0
- 17 Cambodia 0
- 17 Saint Kitts and Nevis 0
- 17 Kuwait 0
- 17 Saint Lucia 0
- 17 Sri Lanka 0 compare
- 17 Lesotho 0
- 17 Macao 0
- 17 Republic of Moldova 0
- 17 Maldives 0 compare
- 17 North Macedonia 0
- 17 Mozambique 0 compare
- 17 Montserrat 0
- 17 Malawi 0 compare
- 17 Malaysia 0 compare
- 17 Namibia 0 compare
- 17 Nigeria 0
- 17 Nicaragua 0 compare
- 17 Nepal 0
- 17 New Zealand 0 compare
- 17 Oman 0
- 17 Panama 0
- 17 Papua New Guinea 0
- 17 Paraguay 0
- 17 Qatar 0
- 17 Romania 0
- 17 Solomon Islands 0
- 17 Serbia 0 compare
- 17 Sao Tome and Principe 0
- 17 Seychelles 0
- 17 Thailand 0
- 17 Tonga 0 compare
- 17 Türkiye 0
- 17 Tanzania, United Republic of 0
- 17 Uganda 0 compare
- 17 Ukraine 0
- 17 Uruguay 0 compare
- 17 Saint Vincent and the Grenadines 0
- 17 Vanuatu 0
- 17 South Africa 0
- 17 Zambia 0 compare
- 17 Zimbabwe 0 compare
More external debt data for Philippines
- IFC, private nonguaranteed 332.92 million NFL, US$ (2024)
- IFC, private nonguaranteed (NFL, US$), per capita 2.87 NFL, US$ per person (2024)
- IFC, private nonguaranteed (NFL, US$), per unit of GDP 0.0007 NFL, US$ per US$ of GDP (2024)
- IFC, private nonguaranteed (NFL, US$), per square kilometre 333.31 NFL, US$ per square kilometre (2023)
- Public and publicly guaranteed debt service 1.9% (2024)
- Net financial flows, IDA -2.33 million NFL, current US$ (2024)
- Net financial flows, IDA (NFL, current US$), per capita -0.0201 NFL, current US$ per person (2024)
- Net financial flows, IDA (NFL, current US$), per unit of GDP -0 NFL, current US$ per US$ of GDP (2024)
- Net financial flows, IBRD 2.25 billion NFL, current US$ (2024)
- Public and publicly guaranteed debt service 7.8% (2024)
Frequently asked questions
- What is securities other than shares, liabilities of central bank: securities in Philippines?
- Securities other than shares, liabilities of central bank: securities in Philippines was 0 in 2007, according to International Monetary Fund.
- What is the highest securities other than shares, liabilities of central bank: securities recorded in Philippines?
- The highest recorded value was 63.75 billion in 1992.
- What is the lowest securities other than shares, liabilities of central bank: securities recorded in Philippines?
- The lowest recorded value was 0 in 1950.
- How does Philippines rank for securities other than shares, liabilities of central bank: securities?
- Philippines ranks 17th out of 91 countries with data for 2007.
- Where does this Philippines data come from?
- The figures come from International Monetary Fund, published as part of Securities Other Than Shares, Liabilities of Central Bank: Securities (Depository Corporations Survey, Domestic currency). Statizoid updates them automatically from the source API.
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About this data
The Monetary and Financial Statistics (MFS), Non-standard dataset provides discontinued, vintage country-reported financial data that are not harmonized and use country-specific terms.