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Improvement District No. 12 AB
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Labour Force Estimates by Industry and by Occupation (2 and 3 Digits) for Selected Alberta Economic Regions (Annual Average) (1987 - 2011)


Year: 2015

Abstract:
(StatCan Product) Customization details:  This information product has been customized to present information on labour force estimates by industry and by occupation (2 and 3 digits) for Alberta’s Economic Regions (excluding Edmonton and Calgary) from 1987 to 2011 (annual averages).  The LFS characteristics presented are:  - Labour Force     - Employment  The Economic Regions presented are:  - Lethbridge – Medicine Hat - Camrose – Drumheller - Banff- Jasper – Rocky Mountain House - Red Deer - Athabasca – Grande Prairie – Peace River - Wood Buffalo – Cold Lake   Labour Force Survey  The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these.  Target population  The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately.  Instrument design  The current LFS questionnaire was introduced in 1997. At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories.  Sampling  This is a sample survey with a cross-sectional design.  Data sources  Responding to this survey is mandatory. Data are collected directly from survey respondents. Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent.  Error detection  The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940).  Estimation  The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper ""Improvements to the Labour Force Survey (LFS)"", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication.  Data accuracy  Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviews are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the size of the estimate and the geographic area.

Labour Force Estimates by Industry and by Occupation (2 and 3 digits) for Selected Alberta Economic Regions (Annual Average) (2000-2013)


Year: 2015

Abstract:
(StatCan Product) Customization details:  This information product has been customized to present information on labour force estimates by industry and by occupation (2 and 3 digits) for Alberta’s Economic Regions (excluding Edmonton and Calgary) from 2000 to 2013 using annual averages.  The LFS characteristics presented are:  - Labour Force     - Employment  The economic regions presented are:  - Lethbridge – Medicine Hat - Camrose – Drumheller - Banff- Jasper – Rocky Mountain House - Red Deer - Athabasca – Grande Prairie – Peace River - Wood Buffalo – Cold Lake   For more information about the occupations and industries presented, contact OSI.Support@gov.ab.ca  Labour Force Survey  The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these.  Target population  The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately.  Documentation – Labour Force Survey  Instrument design  The current LFS questionnaire was introduced in 1997. At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories.  Sampling  This is a sample survey with a cross-sectional design.  Data sources  Responding to this survey is mandatory. Data are collected directly from survey respondents. Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent.  Error detection  The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940).  Estimation  The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper ""Improvements to the Labour Force Survey (LFS)"", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication.  Data accuracy  Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviews are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the size of the estimate and the geographic area.

Late Pleistocene stratigraphy and sedimentology of coarse clastic deposits in the central Canadian Rocky Mountains, Jasper


Author(s): Levson, V. M.

Year: 1995

Abstract:
Six informal lithostratigraphic units are recognized from newly mapped exposures of Late Quaternary deposits in the Jasper region. The oldest deposits consist mainly of locally derived, coarse-grained gravelly diamicton interpreted as large volume, episodic, unchannelled, debris flow deposits. The inferred paleo-environment is a cool temperate, alpine to subalpine alluvial fan setting. Radiocarbon dates indicate that fan sedimentation began prior to 48 ka and continued throughout the Middle Wisconsinan. A unit of stratified gravels and sands interpreted as braided stream glaciofluvial deposits gradationally overlie the paleofan sequences and are distinguished from them by better stratification, sorting, clast roundness and relatively high percentages of distally-derived clasts. Wood from this unit near Jasper town site indicates deposition about 29 ka. Glaciolacustrine sediments overlying this unit in several Front Range valleys, reflect the onset of glaciation in the Athabasca River valley and associated ice-damming of tributary valley streams. Both Rocky Mountain and Cordilleran glaciers advanced through the area, depositing a complex sequence of ice-marginal sediments, basal tills and supraglacial deposits. Several lines of evidence suggest that at the Late Wisconsinan maximum, glaciers flowed out of the Athabasca valley into the conjectural 'ice free' corridor and were deflected southeasterly along the mountain front by the Laurentide ice sheet. During deglaciation, sedimentation in the Athabasca valley was dominated by ice-marginal deposition of glaciofluvial sands and gravels and by paraglacial debris flows. Large medial moraines and debris septa that formed at the confluence of main valley glaciers, such as occupied the Miette and Athabasca valleys, probably led to stagnant ice in the valley centre and associated kame terrace development along the valley sides. A radiocarbon date on shells from a small ice-marginal lake near Pocahontas indicates that glaciers there were in retreat by about 12 ka and alpine glaciers in the region were at or near their present limits by 10 ka. Sedimentologic studies of alluvial fan deposits in the area indicate that fast moving, noncohesive debris flows are prevalent and that the bedrock geology of the fan source areas exerts a strong control on sedimentation patterns. The conclusion that high energy, low frequency, debris flow events are prevalent in the Main Ranges, whereas lower energy, higher frequency events are typical of the Front Ranges is of relevance to modern hazard studies and mitigation efforts in the Canadian Rocky Mountains.

Marital Status, Alberta Economic Regions


Year: 2009

Abstract:
This Alberta Official Statistic describes the marital status of Alberta’s census families by economic regions for the 2011 census year. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake. This Alberta Official Statistic describes the marital status of Albertans by these economic regions based on the 2011 population census. The graph describes six marital statuses categorized as ’married (and not separated)’, ‘living common-law’, ‘single (never legally married)’, ‘separated’, ‘divorced’ and ‘widowed’.

Nutrient enrichment in the Peace Athabasca and Slave River: Assessment of present conditions and future trends


Author(s): Chambers, P. A.

Year: 1996

Abstract:
The aim of this report was to address the Northern River Basins Study (NRBS) question: “Are the substances added to the rivers by natural and manmade discharges likely to cause deterioration of the water quality?” In this report, the word “substances” was taken to mean nutrients or, more specifically, nitrogen and phosphorus. Other NRBS reports have addressed the impact of effluent loading from the perspective of contaminants. This report synthesizes results from research and monitoring studies undertaken as part of the NRBS to characterize nutrient loading from all point and diffuse sources in the Northern River basins, evaluate the impacts of nutrient loading on river chemistry, assess the response of riverine biota to nutrient loading from pulp mill and municipal effluents in situ, quantify nutrient responses of benthic biota, and investigate interactions between nutrients and contaminants in pulp mill effluent on food webs. These findings are used to assess the state of aquatic ecosystem health, and develop scientific and management recommendations for the Northern River basins. During fall, winter and spring, elevated nitrogen and phosphorus concentrations were observed on the Athabasca River downstream of Jasper, Hinton, Whitecourt and Fort McMurray and on the Wapiti River downstream of Grande Prairie. In the Athabasca River, 20% of all TP samples and 2% of all TN samples exceeded the Alberta Surface Water Quality Objective of 0.05 mg/L TP as P and 1.0 mg/L TN as N. Most of these exceedances occurred during summer and were likely due to high particulate concentrations. In the Wapiti River, 74% of TP samples and 19% of TN samples collected near the mouth exceeded the Alberta Surface Water Quality Objectives compared with exceedances of only 12% for TP and 0% for TN upstream of Grande Prairie. This suggests that nutrients from the City of Grande Prairie and Weyerhaeuser of Canada Ltd. effluents contribute to non-compliance. Annually, continuously-discharging industrial and municipal sources contribute 4 to 10% of the TN load and 6 to 16% of the TP load in the Athabasca River, with the contribution being higher during winter. Likewise, continuously- discharging industrial and municipal sources contribute 20% of the TN and 22% of the TP load in the Wapiti River annually. For the Peace River mainstem there is no evidence of nutrient impacts and the same is likely, true for the Slave River, although there are only limited nutrient data for this river. Elevated nutrient concentrations in the Athabasca and Wapiti rivers have increased periphyton biomass and benthic invertebrate densities and, for the Athabasca River downstream of Hinton, increased the length and body weight of spoonhead sculpin (Cottus ricei), a small insectivorous fish species. Enrichment studies conducted with nutrient diffusing substrata in fall 1994 showed that periphyton growth was nutrient saturated for at least 2.5-4 km downstream of Jasper, from downstream of Hinton to upstream of Whitecourt, for at least 3 km and possibly up to 48 km downstream of Fort McMurray, and for at least 2 km downstream of the Grande Prairie bleached kraft pulp mill. Phosphorus concentrations at sites immediately upstream of the outfalls to these nutrient-saturated reaches were usually < 2 g/L SRP in the Athabasca River and 4-6 g/L SRP in the Wapiti River. These concentrations are similar to the 2-5 g/L SRP that was determined to be the concentration above which the growth of individual cells and thin periphyton films in artificial streams are phosphorus saturated. Periphyton growth was nitrogen limited from downstream of the Alberta Newsprint Co. to the confluence of Lesser Slave River and in the Smoky River. The increase in periphyton biomass and benthic invertebrate densities downstream of effluent outfalls and, in the case of the benthic invertebrates, no loss of species suggests that the response to effluents is one of nutrient enrichment not toxicity. Studies conducted in artificial streams further showed that periphyton biomass and growth of several mayflies, stoneflies and caddisflies increased in response to nutrient or 1% effluent addition, with no significant difference between the two treatments. These results further verify that the response to the current level of effluent loading is one of nutrient enrichment. There is no evidence of adverse effects to the ecosystem (e.g., no benthic invertebrate species loss, no problems with dissolved oxygen levels that are directly caused by nutrient addition). While detailed investigations of spawning grounds and early rearing habitat for fish in the Northern Rivers were not undertaken, it does appear not that dissolved oxygen problems caused by nutrient addition are adversely affecting fish populations at present. The concern with nutrient addition to the Athabasca and Wapiti rivers appears, at present, to be largely one of aesthetics as perceived by increased periphyton growth. Aesthetic criteria for the protection of water bodies are often site specific and developed in consensus with the users of the lake or river. In the absence of any detectable deleterious effects of nutrient loading on the Athabasca and Wapiti rivers, the users must determine whether the increase in periphyton growth downstream of outfalls is acceptable or unacceptable. Given our current state of knowledge, setting effluent permit limits for phosphorus to control periphyton biomass at a specific level is not possible since there is as yet no quantitative relationship between river phosphorus concentrations and periphyton biomass for a given site. For example, periphyton biomass 1 km downstream of Hinton was found to range from 25 to 242 mg chlo/m2 for October 1990, 1992, 1993 and 1994 despite relatively constant TP loads from Weldwood of Canada Ltd. and relatively constant river flows (111, 134, 97 and 118 m3/s for October 1990, 1992, 1993 and 1994, respectively). Yet despite the lack of site-specific quantitative relationships between periphyton biomass and phosphorus concentration, experiments and in situ observations undertaken by the NRBS and other agencies have clearly shown that phosphorus (and, in some locations, nitrogen) are controlling factors for periphyton abundance in the Athabasca, Wapiti and Smoky rivers. Based on findings from studies reviewed in this synthesis report, the following key recommendations are proposed: • regular monitoring and reporting of nutrients from sewage treatment plants. This should be a license requirement. In addition, provision is needed for ensuring compliance with sampling and analytical procedures for all licensed dischargers (industrial and municipal) and to ensure training of certified operators to measure (and record) flow rates and discharge volumes and for enforcement of reporting requirements. Standard reporting requirements for water quality parameters should be established and reporting proper data should be a license requirement.

Population Distribution, Alberta Economic Regions


Year: 2009

Abstract:
This Alberta Official Statistic provides the distribution of Alberta’s population within the 8 economic regions of Alberta for 2011. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake. The economic regions of Calgary and Edmonton account for the largest proportion (69.0%) of Alberta’s population. The remaining six economic regions each accounted for less than 10% of the population.

Population Growth, Alberta Economic Regions


Year: 2009

Abstract:
This Alberta Official Statistic describes the growth of Alberta’s population by Economic Regions between the 2006 Census and the 2011 Census. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake.

Proportion of Population by Language Spoken Most Often at Home, Alberta Economic Regions


Year: 2009

Abstract:
This Alberta Official Statistic describes the proportion of population based on language spoken most often at home in each economic region as reported in the 2011 population census. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake.

Proportion of Population by Mother Tongue, Alberta Economic Regions


Year: 2009

Abstract:
This Alberta Official Statistic shows the proportion of population by mother tongue in the eight Alberta economic regions for the 2011 Census year. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake. Mother tongue refers to the first language learned at home in childhood and still understood by the person on May 10, 2011. Non-official languages are languages other than English or French. According to the 2011 census, 77.8% of Albertans reported English as their mother tongue, followed by a non-official language (20.1%), and French (2.1%). The Red Deer economic region reported the highest proportion of Albertans with English as a mother tongue (89.7%) and the lowest proportion of Albertans with a non-official language as a mother tongue (8.9%), while Calgary reported the lowest proportion (73.4%) of Albertans with English as mother tongue and the highest proportion of Albertans with a non-official language as a mother tongue (24.9%).

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