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Oliver Paipoonge, Ontario, and Analyzes How Each Data Set Aligns with the Other

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Oliver Paipoonge, Ontario, and Analyzes How Each Data Set Aligns with the Other Community Labour OLIVER Market Report By Amandine Martel & José-Karl Noiseux ] PAIPOONGE The Community Labour Market Report series provides local labour market indicators to assist community leaders and organizations in the decision-making process. The goal of this report is to provide community actors with a better understanding of what is happening in their community. It does not attempt to explain the reasons behind the trends, spikes or troughs in the provided data. This information is intended as a starting point for an evidence-based conversation by the community about why certain changes are occurring. This report is a first step. It is now up to you, the reader, and your fellow community members to explore and address the challenges and opportunities your community is experiencing. This report examines current labour demand and supply data from Oliver Paipoonge, Ontario, and analyzes how each data set aligns with the other. DEMAND 01. Employers The key to local labour market planning is an understanding of (13.6 percent), and there was a net loss of one company in the characteristics of area employers, such as their numbers, the 100 to 199 employee range due to downsizing or closure. size, and the industries they represent. Changes in any of these factors will impact employment levels and opportunities within In June 2016, real estate, specialty trade contractors, and a local labour market. professional, scientific and technical services were the industries with the highest number of employers. However, Oliver Paipoonge’s employers are mostly small businesses. most were small enterprises with fewer than five employees, Indeed, 59.4 percent of businesses in the community are self- thus they do not represent a large proportion of total employed individuals (Table 2). By comparison, 69.1 percent employment in the community. of businesses in Ontario were self-employed individuals in June 2016. In Oliver Paipoonge, small business (i.e., 1 to 49 The industry distribution of Oliver Paipoonge employers is employees) accounted for 39.4 percent of the total number very different than that of the Thunder Bay District and the of businesses within the community, compared to 29.3 percent province. For example, a larger share of Oliver Paipoonge of Ontario’s total businesses. Although the overall number employers are in the animal production and aquaculture of businesses within Oliver Paipoonge was in decline (-1.3 and in the forestry and logging industries, and a smaller share percent) between 2015 and 2016, it is interesting to note that are present in the real estate and in the professional, scientific there was an increase in companies with 10 to 19 employees and technical services industries. NSWPB | NPI 2017 - CLMR 7 TOP 20 EMPLOYERS BY INDUSTRY, Oliver Thunder Bay Ontario Paipoonge AND AS A PERCENTAGE OF TOTAL NUMBER Total District (% of Total Number TABLE 1 (% of Total Number (% of Total Number of Employers) OF EMPLOYERS, JUNE 2016 of Employers) of Employers) 531 - Real estate 47 7.5 15.4 15.5 238 - Specialty trade contractors 44 7.0 5.6 5.3 541 – Professional, scientific & technical services 40 6.4 7.7 12.6 112 - Animal production & aquaculture 38 6.1 0.7 1.4 113 – Forestry & logging 34 5.4 1.8 0.1 484 - Truck transportation 27 4.3 1.9 3.2 236 - Construction of buildings 26 4.2 2.8 2.9 811 - Repair & maintenance 26 4.2 2.7 1.8 621 - Ambulatory health care services 22 3.5 7.3 4.9 111 - Crop production 21 3.4 0.4 1.5 523 – Securities, commodity contracts & other financial 21 3.4 3.3 3.2 investment & related activities 551 - Management of companies & enterprises 16 2.6 2.1 2.1 721 - Accommodation services 15 2.4 1.8 0.4 561 - Administrative & support services 14 2.2 2.8 3.6 445 – Food & beverage stores 11 1.8 1.5 1.0 812 - Personal & laundry services 10 1.6 2.3 1.8 237 - Heavy & civil engineering construction 9 1.4 1.2 0.8 722 - Food services & drinking places 9 1.4 3.1 2.5 453 - Miscellaneous store retailers 8 1.3 0.9 0.7 532 - Rental & leasing services 8 1.3 0.8 0.4 Source: Statistics Canada. Canadian Business Counts 2| OLIVER PAIPOONGE NSWPB | NPI 2017 - CLMR 7 1 Businesses with zero CHANGE IN NUMBER OF EMPLOYERS employees are self- June June 2015-2016 2015-2016 Ontario employed entrepreneurs BY NUMBER OF EMPLOYEES IN who do not have any 2015 2016 Change Change Change TABLE 2 OLIVER PAIPOONGE (#) (%) (%) employees on their payroll. 2 At the community level, the Business Counts data 01 387 371 -16 -4.1 2.7 can be inconsistent due to concordance issues in geographical boundaries. 1-4 133 139 6 4.5 1.7 Business data is collected according to postal 5-9 58 57 -1 -1.7 0.7 codes, however, the data is aggregated and displayed according to 10-19 22 25 3 13.6 -0.3 CSD boundaries. The postal code and CSD boundaries 20-49 23 25 2 8.7 -2.5 do not perfectly match and this can cause misreporting of data. Especially when 50-99 8 7 -1 -12.5 18.4 two communities are small, rural and close to one 100-199 2 0 -2 -100.0 -1.7 another. Where Northern Policy Institute becomes aware of such issues, we 200-499 0 1 1 - 0.2 make every effort to correct them at the earliest 500+ 0 0 0 - 1.1 opportunity by working directly with Statistics Canada and locally Total Number of Employers 633 625 -8 -1.3 2.2 affected communities. Sources: Statistics Canada, Canadian Business Counts2 0.6 Thunder Bay -1.3 Oliver District 3.0 0ntario Paipoonge Business creation per 1,000 persons, June 2015-June 2016 Source: Author’s calculations based on Statistics Canada, Canadian Business Counts; Statistics Canada estimates of population OLIVER PAIPOONGE |3 NSWPB | NPI 2017 - CLMR 7 02. Employment by Industry Employment by industry data3 describes the type of business conducted by a person's employer. The industrial structure of an area—and, more specifically, shifts in industrial structure—can have significant consequences for the local labour market. The industrial structure has an impact on the types of jobs offered, their respective salaries, and the type of education and skills these jobs require. In 2011, health care and social assistance, and construction accounted for the the largest share of employment in Oliver Paipoonge... In 2011, health care and social assistance, and construction accounted for the largest share of employment in Oliver Paipoonge, representing 16.4 percent and 13.1 percent respectively of total employment, or one-third when combined. Between 2014 and 2016, employment in health care and social assistance increased by 0.9 percent in the Thunder Bay CMA, and employment in construction increased by 2.4 percent (Table 4). 3 Data from Statistics Canada, such as the census, or the National greater than 10 are rounded to base 5, estimates less than 10 are rounded Household Survey (NHS), are used throughout this report. This data source to base 10. The total value of summed or grouped data may not match has limitations, namely, to ensure confidentiality of individual respondent the individual values. Similarly, percentages, which Statistics Canada identity and characteristics, Statistics Canada National Household Survey calculates on rounded data, may not necessarily add up to 100 percent. (NHS) data is subject to non-disclosure rules. All estimates in NHS tabulations Statistics Canada adjusts figures retroactively. Author’s calculations are are subjected to a process called random rounding. Random rounding based on data available at the time of publication and are therefore transforms all raw estimates to random rounded estimates. This reduces subject to change. the possibility of identifying individuals within the tabulations. All estimates 4| OLIVER PAIPOONGE NSWPB | NPI 2017 - CLMR 7 Oliver Thunder Bay EMPLOYMENT BY INDUSTRY, Oliver Ontario Paipoonge Paipoonge District TABLE 3 AND AS A PERCENTAGE OF TOTAL, 2011 (% of Total) (#) (% of Total) (% of Total) 62 Health care & social assistance 525 16.4 15.9 10.6 23 Construction 420 13.1 6.1 6.1 44-45 Retail trade 310 9.7 11.8 11.1 91 Public administration 285 8.9 10.3 7.0 11 Agriculture, forestry, fishing & hunting 215 6.7 2.0 1.5 31-33 Manufacturing 195 6.1 5.3 10.4 81 Other services (except public administration) 175 5.5 4.5 4.4 72 Accommodation & food services 170 5.3 7.2 6.0 54 Professional, scientific & technical services 165 5.2 4.8 7.7 48-49 Transportation & warehousing 155 4.9 5.5 4.7 61 Educational services 155 4.9 9.1 7.5 Administrative & support, waste management 4.1 2.9 4.4 56 & remediation services 130 41 Wholesale trade 80 2.5 2.7 4.6 21 Mining & oil & gas extraction 55 1.7 2.7 0.4 51 Information & cultural industries 50 1.6 1.9 2.7 52 Finance & insurance 35 1.1 2.7 5.6 22 Utilities 25 0.8 1.2 0.9 71 Arts, entertainment & recreation 20 0.6 2.0 2.0 53 Real estate & rental & leasing 0 0.0 1.5 2.0 55 Management of companies & enterprises 0 0.0 0.0 0.1 All Industries 3,195 - - - Source: Statistics Canada, National Household Survey 2011 OLIVER PAIPOONGE |5 NSWPB | NPI 2017 - CLMR 7 EMPLOYMENT BY INDUSTRY IN ABLE 4 Thunder Bay CMA T THUNDER BAY CMA AND ONTARIO Ontario 2014-2016 2014-2016 Employment by Industry 2012 2014 2016 Change Change (%) (%) Goods-producing Sector 10,400 8,900 9,700 9.0 2.6 Agriculture X X X X -5.0 Forestry, fishing, mining, oil & gas 1,600 <1,500 1,600 >6.7 7.8 Utilities X X X X -3.1 Construction 4,200 4,200 4,300 2.4 7.8 Manufacturing 3,400 2,300 2,600 13.0 0.4 Services-producing Sector 51,400 52,700 50,400 -4.4 1.6 Wholesale & retail trade 8,900 9,800 9,300 -5.1 -1.3 Transportation & warehousing 2,900 3,300 3,200 -3.0 -0.5 Finance, insurance, real estate & leasing 2,800
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