Third Quarter 2019 Social Weather Survey: Net trust for China falls to “Bad” -33; Net trust stays “Excellent” for the United States, “Good” for Australia and Japan, and “Moderate” for Singapore
by Social Weather Stations | Nov 20, 2019 03:47:38 PM
- Net trust falls to “Neutral” for Vietnam
SWS Special Report (printer-friendly version here)
Of the six specific countries tested for public trust, the Third Quarter 2019 Social Weather Survey, done on September 27-30, 2019, found net trust ratings (% much trust minus % little trust) at "excellent" +72 for the United States, "good" +37 for Australia, "good" +35 for Japan, "moderate" +26 for Singapore, "neutral" net zero for Vietnam, and "bad" -33 for China [Chart 1].
The SWS terminology for Net Trust Ratings: +70 and above, "excellent"; +50 to +69, "very good"; +30 to +49, "good"; +10 to +29, "moderate"; +9 to -9, "neutral"; -10 to -29, "poor"; -30 to -49, "bad"; -50 to -69, "very bad"; -70 and below, "execrable."
Net trust falls to "Bad" for China
Net trust fell from poor to bad for China, at -33 (21% much trust, 54% little trust) in September 2019, down by 9 points from -24 in June 2019. This is the lowest since the bad -35 in June 2018 [Table 1].
Net trust in China has been positive in only 9 out of 51 surveys since SWS first surveyed it in August 1994. It reached as high as a moderate +17 in June 2010 and as low as a bad -46 in September 2015.
Net trust stays "Excellent" for the United States
Net trust stayed excellent for the United States, at +72 (80% much trust, 8% little trust), no different from +73 in June 2019 [Table 2].
Net trust in the United States has been positive since SWS first surveyed it in December 1994, ranging from a moderate +18 in May 2005 to an excellent +82 in December 2013.
Net trust stays "Very Good" for Australia and Japan
Net trust rating stayed good for Australia, at +37 (54% much trust, 17% little trust) in September 2019, although down by 9 points from +46 in June 2019 [Table 3].
Net trust in Australia was a moderate +11 when SWS first surveyed it in April 1995. It ranged from neutral +3 to moderate +25 from September 1995 to March 2008. It rose to good +31 in September 2008, and has since then been at +30 and above, except for the moderate +19 in September 2009.
Net trust also stayed good for Japan, at +35 (56% much trust, 22% little trust, correctly rounded) in September 2019, although down by 10 points from +45 (63% much trust, 18% little trust) in June 2019 [Table 4].
SWS first surveyed public trust in Japan in December 1994, and found neutral net ratings from December 1994 to December 1996, ranging from -2 to +9. It rose to a moderate +17 in June 1997, and stayed at moderate to good levels until it reached a very good +54 in December 2017. It fell to moderate +28 in September 2018 and rose to good levels from December 2018 to September 2019, ranging from +34 to +45.
Net trust stays "Moderate" for Singapore
Net trust stayed moderate for Singapore, at +26 (48% much trust, 21% little trust, correctly rounded) in September 2019, although down by 3 points from the record-high +29 (47% much trust, 17% little trust, correctly rounded) in December 2017 [Table 5].
Net trust in Singapore was a moderate +14 when SWS first surveyed it in August 1994. It fell from poor to very bad levels from October 1995 to June 1997, ranging from -21 to -59. It recovered to moderate levels of +29 in December 2017 and +26 in September 2019.
Net trust falls to "Neutral" for Vietnam
Net trust fell from moderate to neutral for Vietnam, at net zero (31% much trust, 31% little trust) in September 2019, down from +13 (34% much trust, 21% little trust) in December 2017 [Table 6].
Net trust in Vietnam used to be at bad levels from March 1995 to June 1997, ranging from -32 to -48. It rose to poor levels of -11 in June 2014 and -14 in September 2015. It reached a record-high moderate +13 in December 2017, and fell to neutral net zero in September 2019.
Survey background
The September 2019 Social Weather Survey was conducted from September 27-30, 2019 using face-to-face interviews of 1,800 adults (18 years old and above) nationwide: 600 each in Balance Luzon and Mindanao, and 300 each in Metro Manila and the Visayas (sampling error margins of ±2.3% for national percentages, ±4% each for Balance Luzon and Mindanao, and ±6% each for Metro Manila and the Visayas).
The area estimates were weighted by Philippine Statistics Authority medium-population projections for 2019 to obtain the national estimates.
The Social Weather Survey items on public trust in selected countries are non-commissioned. These items were included on SWS's own initiative and released as a public service.
The exact questions on public trust in selected countries are as follows: "Pag-usapan po natin ang tungkol sa ilang bansa. Sa mga sumusunod, maaari po bang sabihin ninyo kung ang pagtitiwala ninyo sa (bansa) ay Napakalaki, Medyo malaki, Hindi tiyak kung malaki o maliit, Medyo maliit, Napakaliit, o Wala pa kayong narinig o nabasa kahit na kailan tungkol sa (bansa)? Pakisabi ang sagot ninyo sa pamamagitan ng paglagay ng mga kard sa naaangkop na lugar sa rating board na ito (SHUFFLE CARDS). [Let's now talk about some countries. For the following, please indicate if your trust/faith in (country) is Very much, Somewhat much, Undecided if much or little, Somewhat little, Very little, or You have not heard or read anything about the (country) ever? You may indicate your answers by placing each card on the appropriate box on this rating board (SHUFFLE CARDS).]"
Q109. UNITED STATES OF AMERICA OR USA
Q110. CHINA
Q111. JAPAN
Q112. AUSTRALIA
Q113. SINGAPORE
Q114. VIETNAM
The SWS terminology for Net Trust Ratings: +70 and above, "excellent"; +50 to +69, "very good"; +30 to +49, "good"; +10 to +29, "moderate"; +9 to -9, "neutral"; -10 to -29, "poor"; -30 to -49, "bad"; -50 to -69, "very bad"; -70 and below, "execrable". SWS considers the movement from one classification to another as either an "upgrade" or "downgrade.
SWS employs its own staff for questionnaire design, sampling, fieldwork, data-processing, and analysis, and does not outsource any of its survey operations. This report was prepared by Leo S. Laroza.
Chart 1
Table 1
Table 2
Table 3
Table 4
Table 5
Table 6
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