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Single Pinoys and Pinays : Are You Ready to Mingle?              Filipino Version
by Jose Ramon G. Albert, Ph.D.1

 

 

“Where can single Pinays/Pinoys look for their Valentines date? Where to go? What to do?”When my mom was still alive, she always expected me to shower her with affection on three occasions: her birthday, Christmas, and Valentine’s Day. Filipinos seem to get very excited about celebrating Valentine’s Day, finding love, and observing love even in television shows and movies.   Just last Tuesday (February 5, 2013) alone, one of the trending hashtags on Twitter was #SerChiefAndMayaNationalHUGDay!  Quotang quota na si Maya!     

I also received an email from someone in the media about data updates on a Sexy Statistics article 2 released by the National Statistical Coordination Board (NSCB) last year on the relative concentration of males to females that could help people find one’s Romeo or Juliet. So we opted to do exactly that, i.e. give some information to those who are “single and ready to mingle” on where to look for “prospects”.  Before we give you some “love tips” (remember, patience is a virtue…), it is firstly important to describe our countrymen by their civil status, i.e. to point out how many Pinays/Pinoys are already married, still single, etc.

Based on the results of the 2010 Census of Population and Housing (CPH) conducted by the National Statistics Office (NSO), out of the 71.55 million household population or non-institutional population aged 10 years and over3, 45.4 percent are married, 43.5 percent are single, 5.4 percent are common-law/live-in, 4.3 percent are widowed, 1.2 percent are divorced/separated,  and 0.1 percent are unknown. (Table 1a)

Of the 92.1 million household population in the Philippines, 50.4 percent were males and 49.6 percent were females.  This resulted in a sex ratio of 102 males per 100 females. The sex ratio in 2000 was 101 males per 100 females.3

Among males, there are more single than married – 46.8 percent for the former, 45 percent for the latter.  (Table 1b)  It is the reverse, however, among females – with 45.8 percent being married while 40.3 percent are single. (Table 1c)  Good news then for all the single ladies out there who are in search of partners from the opposite sex: aside from the fact that there are more males than women, in general, there are also more single males than married available for them!

So, where can the Juliets look for their Romeos?  Last year’s Sexy Statistics article reported that “If you are a 30-39 year old Juliet and your heart greatly desires a 30-39 year-old Romeo, your best chance is to go find him in Region IV-B (MIMAROPA).”  Based on the latest results of the 2010 CPH, the same statement still holds and their least chance is still in ARMM.  However, a single female aged 20-29 will now have the best chance of finding a single male with the same age bracket in Region VIII (and not in Region IV-B anymore) and will have the least chance in ARMM (instead of NCR). (Table 2a)

And knowing that females have higher life expectancy than males4, if you’re a “wiser” single female aged 60 and above, you have the best chance of finding your Romeo aged 30 and above in Region XI! (Table 2a)

And lest we forget single males, a single male aged 20-29 will have the best chance of finding a single female with age 20-29 in ARMM and will have the least chance in Region VIII.  On the other hand, for those aged 30-39, they will have the best chance of finding a single female with the same age bracket in ARMM and will have the least chance in Region IV-B. (Table 2b)

And of course, it is not impossible that some Romeos may be looking for a younger Juliet; so for those single males aged 40-49 (such as myself), we will have the best chance of finding a single female with age 30-39 in ARMM and will have the least chance in Region IV-B. (Table 2b)

And for the Juliets out there who want to limit your prospects only within your region…

A single female living in Region VIII can find the most number of single males in her region (i.e. 128 single males aged 10 and above for every 100 single females with the same age bracket) while single females living in ARMM will have the least chance to find a single male in their region (i.e. 101 single males aged 10 and above for every 100 single females). (Table 3)

By the way, the assumption in the examination above is that one prefers heterosexual relationships. However, one could still look at the data above regardless of one’s sexual orientation. And for the rest of you out there who have already found their special date on Valentine’s Day, especially those who are married or have partners, many of you probably have plans already to make February 14 extremely special and/or memorable to your partners.  And honestly, let’s face it that some romantics might have already booked hotels (and motels) to spend quality time with their spouses (or partners) on February 14 or thereabouts.  When I was still religious one and a half decades ago, I used to get amazed that someone who owned motels was one of the biggest benefactors of a certain monastery. With the broad-based growth in the country (suggested by the 6.6% GDP growth in 2012 that the NSCB released recently), I wouldn’t be surprised if motels and hotels are getting a lot of growth in their revenues especially in February. It is interesting to find out how busy can hotels get during the Love Month.

From 2009 to 2011, February and November had the highest hotel occupancy rates within the 12 months of a year.  Hotel occupancy rate in February is at least 57 percent in all types of hotel in 2010-2012.  Deluxe hotels were found to have the highest average occupancy rate in February with at least 76 percent from 2010-2012. (Tables 4a and 4b)  It is probably safe to assume that February figures are partly due to the celebration for Valentine’s Day and perhaps even on account of the Chinese New Year.  Occupancy rates are said to be strongly correlated with visitor arrivals. For November, one may assume that the entry of cold winter in other countries may push up our (foreign) visitor arrivals, and consequently, hotel occupancy.  Hotel occupancy may also be affected by those who are out to go on vacation as we have a number of holidays in November (e.g., All Saint’s Day, Bonifacio Day) as well as the semestral break.   

With high average hotel occupancy rates in February, (Table 4b) there may be more reason to shout out to the world that “It’s More Fun in the Philippines!”  But as we expect higher occupancy not only for February but also hopefully for the next set of months brought about by the Philippines being recognized as a “rising tiger”, I can only wish that our hotel industry will start to give better rates that can allow the country to be more competitive with other Asian neighbors.   One could always give low rates, and get more revenues with more volume.

Is there something to look forward to after Valentine’s?

Heterosexual couples may wonder what is the impact of spending time with your partner.  Are there “fruits” of love shared between heterosexual couples?  Based on vital statistics produced by the NSO, November is included among the top three months when most live births are recorded in 2010!  (Table 5) If a baby is born in November, this would mean that the baby was very likely conceived during the Love Month!   

The other months included in the top three are September and October.  (Table 5) This means that the baby was possibly conceived in December (or January) of the previous (or same) year. It may be recalled from the June 2012 article of Sexy Statistics 5 that in 2009, the month of December recorded the most number of registered marriages.  Kung may Love Month babies, may mga honeymoon babies din!

But ultimately, our main “thrust” (bawal ang mga “green-minded”!) is to make our partners really happy – whole year long!  In a study made by the  NSCB on the Philippine Happiness Index6, the respondents from each of the four subgroups7 considered find family as the most important source of happiness!  Among women and men, they generally agree on the most important as well as least important sources of their happiness! However, the biggest disparity in the rankings is on sex life: men find it 10th most important (10th least important) but women find it second least important! (Table 6a). Of course, some people may wonder whether the respondents here were being truthful .

In terms of the actual level of happiness, family, love life, and friends are included in the top five list of domains where respondents are happiest.  Women and men are both happiest in their love life, and friends!  Both women and men ranked happiness from sex as 11th most important source of their happiness! (Table 6b)
 
That being said, the NSCB wishes everyone a heartwarming Happy Valentine’s! Spread the love… but best of all, be safe!

Also, Kung Hei Fat Choi to the Filipino-Chinese community!

 

Reactions and views are welcome thru email to the author at jrg.albert@nscb.gov.ph.

 

 

 

Filipino Version

 “Binatang Pinoy at Dalagang Pinay: Game ka na ba?"
Ni Jose Ramon G. Albert, Ph.D.1

Noong nabubuhay pa ang nanay ko, inasahan niyang bigyan ko siya ng higit na atensyon at  pagmamahal tuwing sasapit ang tatlong okasyon: sa kanyang kaarawan, kung araw ng pasko at kapag araw ng mga puso (o Valentine’s Day). Hindi nga ba ang mga Pilipino ay sobra ang pagpapahalaga sa pagdaraos ng Valentine’s Day at sa paghahanap ng makaka-valentine at maramdam ang sobrang kilig sa tuwing makakita ng mga “love at romantic scenes” maging sa palabas sa sine at telebisyon? Halimbawa, noong araw ng Huwebes, (February 5, 2013), ang pinaka trending hashtag sa Twitter ay ang #SerChiefAndMayaNationalHUGDay!  Quotang quota na si Maya!    

Nakatanggap din ako ng email mula sa isang taga media hinggil sa updates sa aming column  sa Sexy Statistics2 na inilabas ng National Statistical Coordination Board (NSCB) noong nakaraang taon, na nagtuturo kung saang  lugar ang mga kalalakihan at kababaihan ay pwedeng makahanap ng maaring maging kapuso. Dahil rito, minabuti naming gawing muli ang nasabing pag-aaral na magbibigay impormasyon para sa mga binata at dalagang nais magka-partner sa buhay at saan posibleng makahanap ng kanilang magiging partner. Subalit bago ang nasabing mga “love tips”, mahalagang malaman muna ang profile ng mga Pinoy at Pinay ukol sa kanilang civil status upang mabatid kung ilan ang bilang ng mga may-asawa, dalaga at binata sa ating bansa.

Ayon sa resulta ng 2010 Census of Population and Housing (CPH) na isinagawa ng National Statistics Office (NSO), lumalabas na mula sa 71.55 million household population or non-institutional population na may edad 10 taon gulang at pataas3, 45.4% nito ay may asawa,  43.5% ay walang asawa (dalaga at binata), samantalang 5.4% naman ay itinuturing na mga  common-law/live-in, 4.3% ay mga biyudo at biyuda. Ang mga divorced/separated naman ay may bilang na 1.2%, samantalang 0.1% naman sa populasyong ito ang hindi natin alam ang civil status. (Table 1a)

Sa 92.1 million household population ng Pilipinas, 50.4% ay mga lalaki at 49.6% ay mga babae. Kung sex ratio naman ang pag-uusapan, masasabi na sa bawat 102 lalaki ay may 100 namang babae. Noong 2000, ang sex ratio ay 101 lalaki sa bawat 100 babae 3.

Sa mga kalalakihan, mas marami ang walang asawa (46.8%) kaysa may-asawa (45%) (Table 1b). Kabaligtaran naman sa mga kababaihan, 45.8% ang may asawa at 40.3% ang walang asawa. (Table 1c) Siguradong matutuwa ang mga kadalagahan na naghahanap ng partner sa balitang ito!   Bukod sa katotohanang mas marami ang lalaki kaysa sa mga babae, sa pangkahalatan, mas marami din ang walang asawang lalaki kaysa sa mga babae.

Kung ganoon, saan pwedeng makita ni Juliet ang kanyang Romeo? Sa Sexy Statistics article  noong nakaraang taon (Base sa 2007 CPH), iniulat na “kung ang isang 30-39 year old na Juliet  ay naghahanap ng isang 30-39 year old na Romeo, ang kanyang dapat puntahang lugar upang makita si Romeo ay sa Region IV-B (MIMAROPA)” at huwag sa ARMM dahil sa maliit na pagkakataong makita nya si Romeo dito.   Ayon sa resulta ng 2010 CPH, ganito pa rin ang sitwasyon. Subalit nabago ang pangyayari para sa mga Pinay na may edad 20-29 taon gulang. Kung hahanapin nila ang kanilang Romeo na may kaparehong edad, ang pinakamalaking pagkakataon na makita nila ito ay sa Region VIII at hindi na sa Region IV-B.  Ang pinakamaliit namang pagkakataon ay sa ARMM at hindi na sa NCR. (Table 2a)

At dahil sa ang mga babae ay may mataas na life expectancy kaysa sa mga lalaki4, (lalo na para sa mga “wais” na babae na may edad na 60 pataas) ang tamang lugar para hanapin si Romeo na may edad na 30 pataas ay sa Region XI !(Table 2a).

Hindi rin dapat kalimutan sa usaping ito ang mga lalaking walang asawa (binata) na may edad 20-29. Para sa kanila, ang lugar na may pinakamalaking pagkakataon na makita nila ang kanilang Juliet (na may kaparehong edad) ay sa ARMM at ang pinakamaliit na pagkakataon ay sa Region VIII. Sa kabilang dako, para sa may edad na 30-39, ang may pinakamalaking pagkakataon na makita nila ang kanilang Juliet (na may kaparehong edad) ay sa ARMM at pinakamaliit na pagkakataon ay sa Region IV-B. (Table 2b)

     
At siempre, hindi rin imposible para sa ilang Romeo na maghanap ng mas batang Juliet. Kaya, para sa mga lalaking walang asawa na may edad 40-49 (tulad ko) ang pinakamalaking pagkakataon na makita namin ang aming Juliet (na may edad 30-39) ay sa ARMM  samantalang ang pinakamaliit na pagkakataon ay sa Region IV-B (Table 2b). 

Sa mga kababaihang nagnanais na limitahan ang paghahanap ng kanilang mamahalin sa kanilang lugar na nasasakupan, narito ang ilang impormasyon:

Sa Region VIII, matatagpuan ng mga kababaihang tagaroon ang pinakamaraming bilang ng mga lalaking may edad sampu pataas. Para sa 100 kababaihan (edad 10 pataas),  may katapat itong 128 kalalakihan (edad 10 pataas). Samantala, sa mga kababaihang taga ARMM, mas mallit ang pagkakataon makita nila ang kanilang “prospect” dahil sa 100 kababaihan na may edad 10 pataas, 101 kalalakihan lamang na may kaparehong edad ang kanyang katapat (Table 3).

Subalit dapat maliwanag na ang mga halimbawang nabanggit dito sa artikulong ito ay para lamang sa mga ugnayang heterosexual. Sa kabila nito, maari pa ring pag-aralan ang mga datos na ito maging anuman ang sexual orientation ninuman.  Marahil, para sa mga taong mayroon nang special date ngayong Valentine’s Day lalo na ang mga may asawa o partner, marami na sa inyo ang nakapag-plano na  upang gawing espesyal at di malilimutang araw ang February  14. Sa tooo lang, baka nga ang iba ay nakapagpa-book na sa mga hotel at motel upang doon ipagdiwang ang araw ng mga puso kasama ang kanilang mga asawa o partner. Noong ako ay nasa loob pa ng seminaryo, nakatutuwang malaman na ang isang may-ari ng mga motels ang syang main benefactors ng isang monasteryo. Sa malawakang pag-akyat ng ekonomiya (na ipinapakita ng 6.6% GDP growth noong 2012 na ini-ulat ng NSCB kamakailan) hindi kataka-taka na ang mga establishment na ito ay kumikita ng malaki lalo na tuwing Valentine’s Day. Magandang malaman kung gaano karami ang pumapasok sa mga hotel tuwing sasapit ang araw ng mga puso?   

Ayon sa datos mula sa Department of Tourism, mula 2009-2011, ang buwan ng Pebrero at Nobyembre ang may pinakamataas na hotel occupancy rate sa lahat ng mga buwan sa loob ng isang taon. Noong 2010-2012, ang hotel occupancy rate sa buwan ng Pebrero ay 57% sa lahat ng uri ng hotel. Sa  parehong mga taon, ang Deluxe hotels ang may pinakamataas na average occupancy rate na may 76%. (Table 4a at 4b). Maaring dahilan nito ay ang selebrasyon ng Valentine’s Day o maging ng Chinese New Year. Sinasabi na ang occupancy rate ay may kaugnayan sa visitor arrivals. Ang pagpasok ng panahon ng tag-yelo (winter) sa ibang bansa ang maaring nagpapataas sa visitor arrivals at hotel occupancy rate tuwing Nobyembre. Maari ding dahilan nito ay ang maraming bilang ng holidays (tulad ng All Saint’s Day at Bonifacio Day) tuwing Nobyembre, at ng semestral break sa mga paaralan.

Sa mataas na average hotel occupancy tuwing Pebrero (Table 4b), mas maraming dahilan upang ipagsigawan natin sa mundo na tunay ngang ”It’s more fun in the Philippines” . At habang inaasahan natin ang mas mataas na hotel occupancy hindi lamang tuwing Pebrero ngunit sa mga susunod pang buwan dahilan sa pagiging “rising tiger” ng Pilipinas, umaasa ako na ang hotel industry ay magsisimulang magbigay ng mas mababang rates upang ang ating bansa ay mas maging competitive laban sa iba pang bansa sa Asya. Kahit mas mababa ang hotel rates, maaring rin namang pataasin ang kita kung mataas ng husto ang hotel occupancy.

Ano nga ba ang dapat abangan pagkatapos ng Valentines Day?

Matapos ang pagsasaya sa panahon ng Valentine’s Day, ano naman ang nagiging bunga ng pagmamahalan sa pagitan ng lalaki at babaeng magsing-irog?   Ayon sa vital statistics ng NSO, ang buwan ng Nobyembre ang isa sa tatlong buwan sa taong 2010 kung kailan may  pinakamaraming bata ang ipinanganganak! (Table 5) Kung ang isang bata ay ipinanganak sa buwan ng Nobyembre, nangangahulugan na ito ay nabuo sa buwan ng Pebrero, sa araw ng mga puso!

Bukod sa Pebrero, ang dalawa pang buwan na may pinakamaraming ipinanganganak ay Setyembre at Oktubre (Table 5). Ibig sabihin ang sanggol ay maaring ipinagbuntis sa buwan ng Disyembre (o Enero) ng nakaraan o parehong taon. Matatandaan, na sa article ng Sexy Statistics noong June 2012 iniulat na noong 2009, ang buwan ng Disyembre ang nagtala ng pinakamaraming dami ng registered marriages. Kung may Love Month babies, may mga honeymoon babies din!

Subalit sa panghuli, ang aming pangunahing “thrust” (bawal ang mga “green-minded”!) ay gawing masaya ang ating mga katuwang sa buhay o partner sa bawat araw ng taon. Sa isang pag-aaral ng NSCB ukol sa Philippine Happiness Index6, itinuturing ng mga sumagot sa survey mula sa apat na subgroups na ang pamilya ang syang pinakamahalagang pinagkukunan nila ng kaligayahan! Sa pagitan ng babae at lalaki, kapwa sila nagkasundo sa pinakamahalagang at hindi pinakamahalagang pinagkukunan ng kaligayahan! Subalit ang pinakamalaking pagkakaiba o disparity nila sa ranking ay ukol sa sex life. Para sa kalalakihan, ang sex life ang ika-sampung pinakamahalagang bagay (maaari ring ika-sampung hindi pinakamahalagang pinagkukunan ng kanilang kaligayahan). Para sa kababaihan, ang sex life daw ang ikalawa sa hindi pinakaimportanteng pinagkukunan ng kanilang kaligayahan (Table 6a). Pero siyempre, maaaring may makapagsabi, na ang ilang sa mga respondent na ito ay hindi sumagot ng katotohanan.

Hinggil sa actual level of happiness, ang pamilya, love life at mga kaibigan ang kabilang sa top five list kung saan ang mga respondents ay sinasabing pinakamasaya. Ang mga babae at lalaki ay kapwa pinakamasaya sa kanilang love life at mga kaibigan. Para sa mga kababaihan at kalalakihan, parehong level ang turing nila sa sex life na pang labing-isang pinakamahalagang pinagkukunan ng kaligayahan! (Table 6b)

Magkaganunman, binabati ng NSCB ang lahat ng isang mainit na Happy Valentine’s Day! Palaganapin natin ang pag-ibig subalit higit sa lahat, maging maingat! (Nasa huli ang pagsisisi) 1

At para sa mga kababayan natin sa Filipino-Chinese community, Kung Hei Fat Choi!

Kung kayo ay may reaksyon o ibang pananaw ukol sa artikulong ito, mangyari lamang na sumulat sa may akda sa email address na: jrg.albert@nscb.gov.ph.

 

 

________________________________

1 Secretary General of the National Statistical Coordination Board (NSCB). The NSCB, a statistical agency functionally attached to the National Economic and Development Authority (NEDA), is the highest policy making and coordinating body on statistical matters in the Philippines. Immediately prior to his appointment at NSCB, Dr. Albert was a Senior Research Fellow at the Philippine Institute for Development Studies, a policy think tank attached to NEDA. Dr. Albert finished summa cum laude  with a Bachelor of Science degree in Applied Mathematics from the De La Salle University in 1988. He completed a Master of Science in Statistics from the State University of New York at Stony Brook in 1989 and a Ph.D. in Statistics from the same university in 1993. He is an  Adjunct Faculty of the Asian Institute of Management. He is also a past President of the Philippine Statistical Association, a Fellow of the Social Weather Stations, and an Elected Regular Member of the National Research Council of the Philippines. 

This article was co-written by Ms. Jessamyn O. Encarnacion, Ms. Bernadette B. Balamban, and Mr. Joseph Nino M. Bulan; Director, Statistical Coordination Officer (SCO) VI, and SCO I, respectively, of the NSCB. This article was translated in Filipino by Mr. Ruben V. Litan, SCO IV of NSCB. The authors thank Noel S. Nepomuceno, Information Technology Officer II for the assistance in the preparation of the article. The views expressed in the article are those of the authors and do not necessarily reflect those of the NSCB and its Technical Staff.

2 Virola, Romulo A., Rivera, Patricia Anne L., and Bulan, Joseph Albert Nino M. http://www.nscb.gov.ph/sexystats/2012/SS20120208_single.asp

3 http://www.census.gov.ph/content/age-and-sex-structure-philippine-population-facts-2010-census

4http://www.census.gov.ph/content/life-expectancy-birth-women

5 Virola, Romulo A., Rivera, Patricia Anne L., and Bulan, Joseph Albert Nino M. http://www.nscb.gov.ph/sexystats/2012/SS20120627_junebride.asp#tab2

6 See the 11th National Convention on Statistics (NCS) paper: Virola, Romulo A. and Encarnacion, Pascasio, and Clavido. Measuring Progress of Philippine Society: What Makes the Poor Happy? 11th National Convention on Statistics. National Statistical Coordination Board. 4-5 October 2010. (http://www.nscb.gov.ph/ncs/11thNCS/papers/invited%20papers/ips23/01_Measuring%20Progress %20of%20Philippine%20Society%20What%20Makes%20the%20Poor%20Happy.pdf)

Virola, Romulo A. and Encarnacion, Jessamyn O. Measuring Progress of Societies: Gross National Product or Gross National Happiness? 10th National Convention on Statistics. National Statistical Coordination Board. 1-2 October 2007. (http://www.nscb.gov.ph/ncs/10thNCS/papers/invited%20papers/ips-28/ips28-03.pdf)

Three earlier Statistically Speaking articles in November 2010, August and October 2007 also featured the same subject:

Virola, Romulo A. Measuring Progress of Societies: Would You Rather Be Rich or Would You Rather Be Happy? Statistically Speaking. National Statistical Coordination Board. 13 August 2007. (http://www.nscb.gov.ph/headlines/StatsSpeak/2007/081307_rav_happiness.asp)

Virola, Romulo A. How Happy Are Pinoys with Sex? Statistically Speaking. National Statistical CoordinationBoard. 8 October 2007. (http://www.nscb.gov.ph/headlines/StatsSpeak/2007/100807_rav_happiness2.asp)

Virola, Romulo A., Encarnacion, Jessamyn O., and Pascasio, Mark C.  What Makes Women Happy? Statistically Speaking. National Statistical CoordinationBoard. 8 November 2010. (http://www.nscb.gov.ph/headlines/StatsSpeak/2010/110810_rav_joe_happiness.asp)

7 Nonrandom sample respondents from the following subgroups: 1) low-income families; 2) employees of Government Agency A; 3) employees of Government Agency B; and 4) employees of Private Agency A.

 

 

 

 



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Table 1a. Marital Status of Household Population 10 Years Old and Over
by Region, 2010

Region Marital Status
Single Married Widowed Divorced/
Separated
Common-Law/Live In Unknown Total
Philippines 43.5 45.4 4.3 1.2 5.4 0.1 100.0
NCR 44.9 41.5 3.8 1.9 7.8 0.1 100.0
CAR 46.5 46.7 4.2 0.9 1.6 0.1 100.0
Region I 41.8 47.1 5.4 1.0 4.7 0.1 100.0
Region II 39.5 52.6 4.8 0.9 2.1 0.1 100.0
Region III 40.9 47.9 4.4 1.5 5.1 0.1 100.0
Region IV-A 42.2 44.8 4.1 1.6 7.1 0.2 100.0
Region IV-B 42.8 46.5 4.2 0.9 5.5 0.1 100.0
Region V 45.2 43.2 4.7 1.0 5.9 0.1 100.0
Region VI 45.8 44.5 5.0 0.8 3.7 0.2 100.0
Region VII 44.4 44.8 4.4 0.9 5.4 0.1 100.0
Region VIII 44.2 42.4 4.7 1.2 7.2 0.2 100.0
Region IX 43.6 47.4 4.1 1.1 3.6 0.1 100.0
Region X 43.5 46.9 4.0 1.1 4.4 0.1 100.0
Region XI 42.8 45.4 4.0 1.1 6.8 0.1 100.0
Region XII 43.2 48.1 3.8 0.9 3.9 0.1 100.0
Caraga 43.9 44.4 4.2 1.0 6.3 0.1 100.0
ARMM 49.3 46.3 2.8 1.1 0.2 0.3 100.0

Source: 2010 Census of Population and Housing, National Statistics Office

Table 1b. Marital Status of Household Male Population 10 Years Old and Over
by Region, 2010

Region Marital Status
Single Married Widowed Divorced/
Separated
Common-Law/
Live In
Unknown Total
Philippines 46.8 45.0 1.9 0.9 5.3 0.1 100.0
NCR 46.8 42.4 1.5 1.2 8.0 0.1 100.0
CAR 50.0 45.8 2.0 0.6 1.6 0.1 100.0
Region I 45.6 46.7 2.2 0.8 4.5 0.1 100.0
Region II 43.4 51.6 2.2 0.7 2.0 0.1 100.0
Region III 44.4 47.5 1.9 1.1 5.1 0.1 100.0
Region IV-A 42.2 44.8 4.1 1.6 7.1 0.2 100.0
Region IV-B 46.7 45.2 1.9 0.7 5.3 0.1 100.0
Region V 49.4 42.2 2.0 0.7 5.6 0.1 100.0
Region VI 49.8 43.7 2.2 0.6 3.6 0.2 100.0
Region VII 47.4 44.4 2.2 0.7 5.3 0.1 100.0
Region VIII 48.4 41.1 2.4 1.0 6.9 0.2 100.0
Region IX 47.0 46.4 2.1 0.9 3.5 0.1 100.0
Region X 46.8 45.9 1.9 0.9 4.3 0.1 100.0
Region XI 46.3 44.3 1.9 0.9 6.6 0.0 100.0
Region XII 46.6 47.0 1.9 0.7 3.8 0.1 100.0
Caraga 47.7 43.2 2.1 0.9 6.1 0.1 100.0
ARMM 50.2 46.7 1.6 0.9 0.2 0.3 100.0

Source: 2010 Census of Population and Housing, National Statistics Office

Table 1c. Marital Status of Household Female Population 10 Years Old and Over
by Region, 2010

Region Marital Status
Single Married Widowed Divorced/
Separated
Common-Law/
Live In
Unknown Total
Philippines 40.3 45.8 6.7 1.6 5.5 0.1 100.0
NCR 43.1 40.7 5.9 2.5 7.7 0.1 100.0
CAR 42.8 47.7 6.5 1.2 1.7 0.1 100.0
Region I 37.9 47.4 8.5 1.3 4.8 0.1 100.0
Region II 35.5 53.7 7.5 1.0 2.1 0.1 100.0
Region III 37.4 48.3 6.9 2.0 5.2 0.1 100.0
Region IV-A 39.5 44.7 6.5 2.0 7.1 0.2 100.0
Region IV-B 38.7 47.8 6.6 1.1 5.7 0.1 100.0
Region V 40.8 44.3 7.5 1.2 6.1 0.1 100.0
Region VI 41.8 45.2 8.0 1.0 3.8 0.2 100.0
Region VII 41.4 45.3 6.6 1.2 5.5 0.1 100.0
Region VIII 39.9 43.8 7.2 1.4 7.6 0.2 100.0
Region IX 40.2 48.5 6.2 1.3 3.7 0.1 100.0
Region X 43.5 46.9 4.0 1.1 4.4 0.1 100.0
Region XI 39.1 46.5 6.1 1.3 7.0 0.1 100.0
Region XII 39.7 49.3 5.8 1.1 4.0 0.1 100.0
Caraga 39.9 45.8 6.5 1.2 6.6 0.1 100.0
ARMM 48.3 45.9 3.9 1.3 0.2 0.3 100.0

Source: 2010 Census of Population and Housing, National Statistics Office

Table 2a. Regions with Highest/Lowest Single Males Per Hundred Single Females Ratio, By Age Group: 2010

A SINGLE FEMALE WITH WILL HAVE BEST CHANCE OF FINDING A SINGLE MALE WITH   WILL HAVE LEAST CHANCE OF FINDING A SINGLE MALE WITH
AGE 10-19 AT AGE 20-29 AT AGE 30-39 AT AGE 40-49 AT AGE 50-59 AT AGE 60 AND ABOVE AT AGE 10 AND ABOVE AT AGE 10-19 AT AGE 20-29 AT AGE 30-39 AT AGE 40-49 AT AGE 50-59 AT AGE 60 AND ABOVE AT AGE 10 AND ABOVE AT
AGE 10-19 REGION VIII NCR NCR REGION VI REGION VI REGION VI REGION VI ARMM ARMM ARMM ARMM ARMM ARMM ARMM
AGE 20-29 REGION IV-B REGION VIII  REGION VI REGION VI REGION VI REGION VI REGION IV-B NCR ARMM  ARMM ARMM ARMM ARMM NCR
AGE 30-39 REGION IV-B REGION IV-B REGION IV-B REGION IV-B REGION IV-B REGION VIII REGION IV-B  NCR NCR ARMM ARMM ARMM ARMM NCR    
AGE 40-49 ARMM ARMM REGION IV-B REGION IV-B REGION IV-B REGION IV-B ARMM NCR NCR NCR ARMM ARMM NCR NCR
AGE 50-59 ARMM ARMM REGION XII CAR CAR REGION IV-B ARMM NCR NCR NCR ARMM ARMM NCR NCR
AGE 60 AND ABOVE ARMM ARMM REGION XI REGION XI REGION XI REGION XI ARMM REGION I REGION I REGION I REGION I REGION I REGION I REGION I
AGE 10 AND ABOVE REGION IV-B CAR REGION VI REGION VI REGION VI REGION VI REGION VIII NCR ARMM ARMM ARMM ARMM ARMM ARMM

Source of basic data: 2010 Census of Population and Housing, National Statistics Office

Table 2b. Regions with Highest/Lowest Single Females Per Hundred Single Males Ratio, By Age Group: 2010

A SINGLE MALE WITH WILL HAVE BEST CHANCE OF FINDING A SINGLE FEMALE WITH   WILL HAVE LEAST CHANCE OF FINDING A SINGLE FEMALE WITH
AGE 10-19 AT AGE 20-29 AT AGE 30-39 AT AGE 40-49 AT AGE 50-59 AT AGE 60 AND ABOVE AT AGE 10 AND ABOVE AT AGE 10-19 AT AGE 20-29 AT AGE 30-39 AT AGE 40-49 AT AGE 50-59 AT AGE 60 AND ABOVE AT AGE 10 AND ABOVE AT
AGE 10-19 ARMM NCR NCR NCR NCR REGION I NCR REGION VIII REGION IV-B REGION IV-B ARMM ARMM ARMM REGION IV-B
AGE 20-29 ARMM ARMM NCR NCR NCR REGION I ARMM NCR REGION VIII REGION IV-B ARMM ARMM ARMM CAR
AGE 30-39 ARMM ARMM        ARMM NCR NCR REGION I ARMM NCR REGION VI REGION IV-B REGION IV-B REGION XII REGION XI REGION VI
AGE 40-49 ARMM ARMM ARMM      ARMM ARMM REGION I ARMM REGION VI REGION VI REGION IV-B  REGION IV-B CAR REGION XI REGION VI
AGE 50-59 ARMM ARMM ARMM ARMM ARMM REGION I ARMM REGION VI REGION VI REGION IV-B REGION IV-B CAR REGION XI REGION VI
AGE 60 AND ABOVE ARMM ARMM ARMM NCR NCR REGION I ARMM REGION VI REGION VI REGION VIII REGION IV-B REGION IV-B REGION XI REGION VI
AGE 10 AND ABOVE ARMM NCR NCR NCR NCR REGION I ARMM REGION VI REGION IV-B REGION IV-B ARMM ARMM ARMM REGION VIII

Source of basic data: 2010 Census of Population and Housing, National Statistics Office

Table 3. Sex Ratios by Region: 2010

REGION Total Number of Single Males (aged 10 and above) Total Number of Single Females (aged 10 and above) Male to Female Ratio x 100 Rank
Philippines 16,758,227 14,394,867 116.4  
NCR 2,145,448 2,109,576 101.7 16
CAR 321,641 267,782 120.1 12
Region I 854,597 709,889 120.4 11
Region II 560,230 445,126 125.9 4
Region III 1,767,704 1,488,474 118.8 13
Region IV-A 2,189,592 1,972,118 111.0 15
Region IV-B 491,482 389,765 126.1 2
Region V 1,015,651 812,683 125.0 5
Region VI 1,404,024 1,156,320 121.4 8
Region VII 1,254,452 1,089,335 115.2 14
Region VIII 771,121 603,806 127.7 1
Region IX 617,824 510,428 121.0 9
Region X 779,183 644,781 120.8 10
Region XI 814,731 660,123 123.4 6
Region XII 744,035 608,770 122.2 7
Caraga 451,639 358,464 126.0 3
ARMM 574,873 567,427 101.3 17

Source of basic data: 2010 Census of Population and Housing, National Statistics Office

Table 4a. Average Monthly Hotel Occupancy Rate in Metro Manila, 2009-2012

Month Hotel Occupancy Rate
2009 2010 2011 2012
Jan             64.2             66.3              67.0        67.6
Feb             70.1             73.0              73.8        75.9
Mar             67.1             72.8              70.2        71.8
Apr             66.2             69.3              67.4        67.1
May             67.4             66.8              72.4        68.1
Jun             59.7             66.4              65.1        60.5
Jul             63.2             66.9              67.3        61.5
Aug             64.1             63.8              61.8        61.8
Sept             66.0             63.9              68.5  
Oct             66.1             65.5              68.1  
Nov             74.0             71.1              75.6  
Dec             62.5             65.4              68.5  
Total             64.8             67.6              69.3  

Source of Data: Tourism Research & Statistics Division, Department of Tourism

Table 4b. Hotel Occupancy Rate by Type of Hotel in Metro Manila

Month Average Hotel Occupancy Rate (Percent Per Night)
Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Ave.
Deluxe
2010 68.1 76.1 76.9 70.3 68.2 69.4 69.3 66.0 68.0 69.8 75.3 66.8 70.5
2011 69.1 77.8 74.1 70.0 76.8 70.3 71.1 67.5 69.9 70.4 79.9 71.5 72.4
2012 71.7 81.4 76.2 70.5 72.3 64.9 66.1 65.4          
First Class
2010 63.3 69.7 67.1 63.1 60.5 61.0 61.8 61.7 51.3 57.1 68.2 64.6 62.4
2011 62.1 68.8 61.4 57.9 62.7 55.6 55.3 57.9 57.2 59.8 69.0 65.1 62.1
2012 57.2 69.1 65.7 56.2 59.3 49.7 50.6 53.3          
Standard
2010 64.8 70.2 68.8 60.6 67.3 64.5 65.8 62.2 63.3 62.5 66.5 64.6 65.7
2011 66.3 69.6 67.5 66.9 69.0 59.3 65.9 61.5 70.9 68.0 72.0 66.1 67.3
2012 65.3 69.9 67.7 65.3 64.6 58.4 59.5 60.1          
Economy
2010 61.6 63.7 64.2 67.4 63.6 57.6 59.0 51.7 51.3 53.0 56.2 55.9 59.0
2011 54.6 57.9 57.4 61.9 63.1 58.1 60.6 59.7 62.9 57.9 60.9 55.6 58.6
2012 56.3 66.2 61.5 61.2 60.6 47.9 48.2 47.5          

Source of Data: Tourism Research & Statistics Division, Department of Tourism

Table 5. Monthly number of Live Births: 2010

Month of Occurrence Number of Live Births

Rank

Total 1,782,981  
Jan 151,110 5
Feb 133,514 12
Mar 143,584 8
Apr 137,949 10
May 140,675 9
Jun 134,040 11
Jul 147,921 7
Aug 152,478 4
Sept 173,063 1
Oct 165,797 2
Nov 153,268 3
Dec 149,582 6

Source of Data: Vital Statistics Division, National Statistics Office

 

Table 6a: Level of Importance by Source of Happiness: 2010

  Low Income/Government Agency A/
Government Agency B/Private Agency a/
2010
Both sexes Women Men
Average importance Rank Average importance Rank Average importance Rank
No. of respondents 356 149 207
Source/Domain
Family 9.54 1 9.81 1 9.31 1
Health 9.19 2 9.41 2 9.01 2
Religion and/or spiritual work 8.95 3 9.07 3 8.86 3
Work 8.83 4 8.92 4 8.76 5
Peace and security b/ 8.81 5 8.79 6 8.82 4
Foodb/ 8.59 6 8.9 5 8.31 9
Education 8.50 7 8.64 7 8.38 7
Love life 8.47 8 8.21 10 8.68 6
Income and financial security 8.45 9 8.61 8 8.32 8
Environment 8.31 10 8.47 9 8.16 12
Economy 8.14 11 8.11 11 8.17 11
Friends 7.97 12 8.09 12 7.86 13
Government 7.79 13 7.93 13 7.65 14
Sex life 7.64 14 6.77 18 7.18 10
Politics 7.59 15 7.93 14 7.25 17
Technological know-how 7.43 16 7.41 15 7.45 16
Leisure and sports 7.23 17 6.86 16 7.54 15
Community and volunteer work 6.93 18 6.82 17 7.02 18
Cultural activities 6.35 19 6.03 19 6.64 19
Others 8.75   9.00   8.67  

Source: Virola, Romulo A., et. al. Measuring Progress of Philippine Society: What Makes the Poor Happy? 11th National Convention on Statistics. National Statistical Coordination Board. October 2010.

Notes:
a/ Nonrandom respondents from Taguig City, Cavite, and Makati City, Government Agency A, Government Agency B, Private Agency.
b/ Not included in the 2007 and 2008 questionnaires. Per suggestions and comments from some of the respondents, these items were added from the list of possible sources/domains of happiness.

 

Table 6b: Level of Happiness by Source of Happiness: 2010

  Low Income/Government Agency A/
Government Agency B/Private Agency a/
Both sexes Women Men
Index Rank Index Rank Index Rank
General Assessment 47.4 51.8 44.2
Overall (based on domains) 66.2 62.8 69.2
Source/Domain
Education 75.68 1 72.09 1 78.83 1
Love life 73.91 2 71.76 2 75.51 3
Friends 73.45 3 68.25 4 78.23 2
Family 70.6 4 71.03 3 70.22 6
Work 67.89 5 68.05 5 67.75 8
Leisure and sports 67.48 6 59.04 7 74.19 4
Cultural activities 66.14 7 60.04 6 71.12 5
Technological know-how 61.53 8 53.03 10 68.66 7
Health 58.84 9 53.81 9 63.25 10
Sex life 58.07 10 52.59 11 60.85 11
Income and financial security 56.72 11 52.39 12 60.49 12
Religion and/or spiritual work 56.56 12 47.95 13 64.13 9
Foodc/ 53.18 13 54.58 8 51.86 14
Economy 49.82 14 45.34 15 54.26 13
Community and volunteer work 49.37 15 47.62 14 50.82 15
Peace and security c/ 42.19 16 41.79 16 42.54 16
Government 29.19 17 33.51 17 25 18
Environment 28.73 18 28.31 18 29.13 17
Politics 6.02 19 7.54 19 4.39 19
Others            
Happiness Index based on:
Internal factors d/ 63.53   59.53   66.85  
External factors d/ 31.19   31.30   31.06  

Source: Virola, Romulo A., et. al. Measuring Progress of Philippine Society: What Makes the Poor Happy? 11th National Convention on Statistics. National Statistical Coordination Board. October 2010.

Notes:
a/ Nonrandom respondents from Taguig City, Cavite, Makati City, Government Agency A, Government Agency B, and Private Agency.
b/ Not included in the 2007 and 2008 questionnaires. Per suggestions and comments from some of the respondents, these items were added from the list of possible sources/domains of happiness.
c/ - Internal factors include domains perceived to be more controlled by the individual, namely: community and volunteer work, cultural activities, education, family, health, income and financial security, leisure and sports, religion and spiritual work,
d/ - External factors include domains perceived to be not controlled much by the individual, namely: economy, environment, government, politics, peace and security

 

Posted: 08 February 2013

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