<p class="p_center p_italic">Synergy research shows families with OFW relatives have more leisure activities and own more gadgets compared to those without</p>
<p>(Manila, Philippines, March 17, 2011) – Filipino families with overseas Filipino worker (OFW) relatives are observed to have more leisure activities and own more gadgets compared to those without, according to a market research conducted by market research consulting firm Synergy Business Consultancy. OFW families are more inclined to eat out, socialize, travel, go to the mall, purchase gadgets, and do recreational activities, as well as allot budget for charitable acts.</p>
<p>&#8220;Because they have higher purchase capacity, more of those with OFW families engage in certain leisure activities compared with those without. For example, 43% of respondents with OFW relatives go malling while only 32% of respondents without OFW relative had this as one of their leisure activities. The only similar behavior observed is media consumption,&#8221; said Synergy managing director Germaine Reyes. The research noted that both groups like to watch TV, listen to the radio, and read newspapers.</p>
<p>OFW families are fond of eating out whether in fast foods or fine dining restaurants, comprising 54% and 19% of respondents, respectively. The malling activities engaged in by OFW families are shopping or window shopping (43%) and watching movies (31%). Social activities are also in the list, which include social drinking (29%), videoke (26%), going to parties or social gatherings (17%), bar hopping (8%), and going dancing in discos or clubs (5%).</p>
<p>Travelling is more common to OFW families (16%), as only 7% of respondents without OFW relatives noted this as one of their leisure activities. Moreover, recreational activities such as going to the gym, playing musical instruments, playing board games, going to the salon or spa, playing video games, or engaging in sports are popular with OFW families. OFW families also allot budget for charitable acts such as participating in the parish and community civic activities, as well as other religious activities.</p>
<p>Gadget ownership with OFW families is prevalent compared with those without, particularly with owning computers or laptops. Thirty-five percent of OFW families have a computer or laptop while only 11% of families without OFW relatives own this gadget at home. &#8220;There is a higher incidence of gadget ownership among OFW families, including mobile phones, computers, and digital cameras, among others. It may be that since computers are communication tools, they are used more readily by the families of OFWs to stay in touch. Thus, ownership of computer peripherals seem to be higher as well,&#8221; expounded Synergy managing director Germaine Reyes.</p>
<p>The survey involved 1,000 households in Metro Manila and the interviews were done from September to October 2010.</p>
<p>In Metro Manila, two in every five households have an OFW immediate household member or relative, which is represented by 929,000 households or 4.7 million household members. In terms of socio-economic profile, 54% or majority of OFW families interviewed belong to the D class. Meanwhile, only 9% of families with OFW relatives are in the ABC class, compared with 4% of families without an OFW immediate household member or relative. According to Reyes, this is a higher-than-usual representation of the ABC households of OFW families compared with those without, and may indicate that having OFW relatives can potentially improve their ability to go up the socio-economic ladder.</p>
<p>&#8220;This is because close to 6 in 10 families receive remittances from OFW family member or relatives and this proportion is much higher compared with class E, thus, possibly augmenting their income capacity and/or disposable income,&#8221; explained Reyes.</p>
<p>In Synergy&#8217;s survey, 64% of families in the ABC class receive remittances from their family members or relatives; 66% for lower C class; 56% for class D; and only 40% for class E.</p>
<p class="p_center"><b>Table 1 – Incidence of OFW vs. non-OFW household in Metro Manila</b></p>
<table class="content_table" cellspacing="0" cellpadding="0" align="center">
<tbody>
<tr>
<th width="264">Whether or not have an OFW family member/relative</th>
<th width="144">Total</th>
</tr>
<tr>
<th>Base</th>
<th>1000</th>
</tr>
<tr>
<td>With OFW family member/relative</td>
<td align="center">41%</td>
</tr>
<tr>
<td>Without OFW family member/relative</td>
<td align="center">59%</td>
</tr>
</tbody>
</table>
<p class="p_center"><b>Table 2 – Socio-Economic Class (SEC) Profile</b></p>
<table class="content_table" cellspacing="0" cellpadding="0" align="center">
<tbody>
<tr>
<th width="114"> ;SEC</th>
<th width="132">With OFW immediate HH member or relative</th>
<th width="114">Without OFW immediate HH member or relative</th>
</tr>
<tr>
<th> ;Base</th>
<th>408</th>
<th>592</th>
</tr>
<tr>
<td><b>SEC</b></td>
<td></td>
<td></td>
</tr>
<tr>
<td>ABC+</td>
<td class="red_text" align="center">9% >;</td>
<td align="center">4%</td>
</tr>
<tr>
<td>Lower C</td>
<td align="center">25%</td>
<td align="center">22%</td>
</tr>
<tr>
<td>D</td>
<td align="center">54%</td>
<td align="center">53%</td>
</tr>
<tr>
<td>E</td>
<td align="center">12%</td>
<td class="red_text" align="center"><; 22%</td>
</tr>
</tbody>
</table>
<p class="p_center p_italic">*Note: <; or >; statistically significant at 95% level</p>
<p class="p_center"><b>Table 3 – Whether or not receive remittances from OFW member/relative, by SEC</b></p>
<table class="content_table" cellspacing="0" cellpadding="0" align="center">
<tbody>
<tr>
<th rowspan="2" width="150"> ;Whether or not receive remittances from OFW family member/relative</th>
<th colspan="4" width="283">SEC</th>
</tr>
<tr>
<th width="71">ABC+</th>
<th width="71">Lower C</th>
<th width="71">D</th>
<th width="71">E</th>
</tr>
<tr>
<th width="150">Base</th>
<th>36</th>
<th>104</th>
<th>221</th>
<th>47</th>
</tr>
<tr>
<td width="150">Yes, receive remittances</td>
<td class="red_text" align="center">64%</td>
<td class="red_text" align="center">66%</td>
<td class="red_text" align="center">56%</td>
<td align="center">40%</td>
</tr>
<tr>
<td width="150">No, don&#8217;t receive remittances</td>
<td align="center">36%</td>
<td align="center">34%</td>
<td align="center">44%</td>
<td align="center">60%</td>
</tr>
</tbody>
</table>
<p class="p_center p_italic">*Note: Figures in red font are statistically significant at 95% level, ie., those who receive remittances amongst ABC+, Lower C, D households are significantly higher vs. E households.</p>
<p class="p_center"><b>Table 4 – Incidence of Leisure Activities</b></p>
<table class="content_table" cellspacing="0" cellpadding="0" align="center">
<tbody>
<tr>
<th width="248"></th>
<th width="120">With OFW immediate HH member or relative</th>
<th width="138">Without OFW immediate HH member or relative</th>
</tr>
<tr>
<th> ;Base</th>
<th width="120">408</th>
<th width="138">592</th>
</tr>
<tr>
<td>Watching TV</td>
<td align="center">98%</td>
<td align="center">97%</td>
</tr>
<tr>
<td>Listening to the radio</td>
<td align="center">62%</td>
<td align="center">63%</td>
</tr>
<tr>
<td>Reading newspapers</td>
<td align="center">53%</td>
<td align="center">54%</td>
</tr>
<tr>
<td>Eat out in fast foods</td>
<td class="red_text" align="center">54% >;</td>
<td align="center">44%</td>
</tr>
<tr>
<td>Cooking/baking</td>
<td class="red_text" align="center">52% >;</td>
<td align="center">39%</td>
</tr>
<tr>
<td>Using Internet</td>
<td class="red_text" align="center">50% >;</td>
<td align="center">29%</td>
</tr>
<tr>
<td>Malling, shopping/window shopping</td>
<td class="red_text" align="center">43% >;</td>
<td align="center">32%</td>
</tr>
<tr>
<td>Go to friend&#8217;s house and chat with them</td>
<td class="red_text" align="center">38% >;</td>
<td align="center">26%</td>
</tr>
<tr>
<td>Watching Cable/Satellite TV</td>
<td class="red_text" align="center">38% >;</td>
<td align="center">24%</td>
</tr>
<tr>
<td>Drinking alcoholic beverages with others</td>
<td class="red_text" align="center">29% >;</td>
<td align="center">24%</td>
</tr>
<tr>
<td>Watching movies</td>
<td class="red_text" align="center">31% >;</td>
<td align="center">21%</td>
</tr>
<tr>
<td>Engaging in Sports</td>
<td class="red_text" align="center">27% >;</td>
<td align="center">18%</td>
</tr>
<tr>
<td>Singing/Videoke</td>
<td class="red_text" align="center">26% >;</td>
<td align="center">18%</td>
</tr>
<tr>
<td>Reading magazines</td>
<td class="red_text" align="center">26% >;</td>
<td align="center">14%</td>
</tr>
<tr>
<td>Video games/computer/arcade games</td>
<td class="red_text" align="center">21% >;</td>
<td align="center">12%</td>
</tr>
<tr>
<td>Eat out in fine dining restaurants</td>
<td class="red_text" align="center">19% >;</td>
<td align="center">11%</td>
</tr>
<tr>
<td>Actively participate in community civic activities/parish/religious activities</td>
<td class="red_text" align="center">18% >;</td>
<td align="center">10%</td>
</tr>
<tr>
<td>Going to parties/social gatherings</td>
<td class="red_text" align="center">17% >;</td>
<td align="center">8%</td>
</tr>
<tr>
<td>Going out of town</td>
<td class="red_text" align="center">16% >;</td>
<td align="center">7%</td>
</tr>
<tr>
<td>Going to salon or spa</td>
<td class="red_text" align="center">10% >;</td>
<td align="center">4%</td>
</tr>
<tr>
<td>Going to bars/bar hopping</td>
<td class="red_text" align="center">8% >;</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Watching concerts/live bands</td>
<td class="red_text" align="center">7% >;</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Board games (chess/etc.)/puzzle</td>
<td class="red_text" align="center">8% >;</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Playing musical instruments</td>
<td class="red_text" align="center">6% >;</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Going to coffee shops</td>
<td class="red_text" align="center">6% >;</td>
<td align="center">2%</td>
</tr>
<tr>
<td>Dancing/going to discos/clubbing</td>
<td class="red_text" align="center">5% >;</td>
<td align="center">2%</td>
</tr>
<tr>
<td>Going to the gym/attending gym classes</td>
<td class="red_text" align="center">4% >;</td>
<td align="center">2%</td>
</tr>
</tbody>
</table>
<p class="p_center p_italic">*Note: <; or >; statistically significant at 95% level</p>
<p class="p_center"><b>Table 5 – Gadgets Ownership</b></p>
<table class="content_table" cellspacing="0" cellpadding="0" align="center">
<tbody>
<tr>
<th width="282">GADGETS OWNED</th>
<th width="62">Total</th>
<th width="70">With OFW member</th>
<th width="70">Without OFW member</th>
</tr>
<tr>
<th align="center"></th>
<th align="center">1000</th>
<th align="center">408</th>
<th align="center">592</th>
</tr>
<tr>
<td><b>OWN (AT LEAST 1) GADGET</b></td>
<td align="center"><b>87%</b></td>
<td class="red_text" align="center"><b>96%</b></td>
<td align="center"><b>81%</b></td>
</tr>
<tr>
<td><b>Cellphone</b></td>
<td align="center"><b>85%</b></td>
<td class="red_text" align="center"><b>93%</b></td>
<td align="center"><b>79%</b></td>
</tr>
<tr>
<td><b>Computer (PC and/or laptop)</b></td>
<td align="center"><b>21%</b></td>
<td class="red_text" align="center"><b>35%</b></td>
<td align="center"><b>11%</b></td>
</tr>
<tr>
<td><b>Digital Camera</b></td>
<td align="center"><b>20%</b></td>
<td class="red_text" align="center"><b>31%</b></td>
<td align="center"><b>12%</b></td>
</tr>
<tr>
<td><b>Computer Peripheral/s</b></td>
<td align="center"><b>19%</b></td>
<td class="red_text" align="center"><b>32%</b></td>
<td align="center"><b>9%</b></td>
</tr>
<tr>
<td>DVD drive</td>
<td align="center">9%</td>
<td class="red_text" align="center">16%</td>
<td align="center">4%</td>
</tr>
<tr>
<td>CD/DVD burner</td>
<td align="center">9%</td>
<td class="red_text" align="center">18%</td>
<td align="center">4%</td>
</tr>
<tr>
<td>Webcam</td>
<td align="center">8%</td>
<td class="red_text" align="center">17%</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Printer</td>
<td align="center">6%</td>
<td class="red_text" align="center">12%</td>
<td align="center">3%</td>
</tr>
<tr>
<td>Portable hard drive</td>
<td align="center">4%</td>
<td class="red_text" align="center">10%</td>
<td align="center">1%</td>
</tr>
<tr>
<td>Router</td>
<td align="center">4%</td>
<td class="red_text" align="center">7%</td>
<td align="center">1%</td>
</tr>
<tr>
<td>Scanner</td>
<td align="center">3%</td>
<td class="red_text" align="center">6%</td>
<td align="center">1%</td>
</tr>
<tr>
<td><b>Ipod</b></td>
<td align="center"><b>16%</b></td>
<td class="red_text" align="center"><b>24%</b></td>
<td align="center"><b>11%</b></td>
</tr>
<tr>
<td><b>PDA gadget</b></td>
<td align="center"><b>4%</b></td>
<td class="red_text" align="center"><b>8%</b></td>
<td align="center"><b>2%</b></td>
</tr>
<tr>
<td><b>NONE</b></td>
<td align="center"><b>13%</b></td>
<td align="center"><b>4%</b></td>
<td class="red_text" align="center"><b>19%</b></td>
</tr>
</tbody>
</table>
<p class="p_center p_italic">*Note: Figures in red font are statistically significant at 95% level.</p>
<p><b>About Synergy Business Consultancy</b><br />
Synergy Business Consultancy is a full-service marketing research consulting company. The company is currently celebrating its 11th year in providing marketing-based, business solutions to a diverse industry, from fast-moving consumer goods (FMCG) to service and business sectors. Synergy provides not just the &#8216;whats&#8217;, but also the &#8216;so whats&#8217; and the &#8216;now whats&#8217; of researches done. Synergy is also a member of ESOMAR and BPA/P.</p>

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