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Australian Migration Statistics, XXXXXXXXXX Contents Australian Migration Statistics, 2018–19 Released November 2019 This page contains a hyperlinked table of contents, the table links begin with a...

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Australian Migration Statistics, XXXXXXXXXX
Contents
    Australian Migration Statistics, 2018–19
    Released November 2019
    This page contains a hyperlinked table of contents, the table links begin with a related tab number followed by a description of the data.
    Table of contents
    Caveat
    Australia's permanent migration outcome
    1.0 Australia's Migration Program outcome, 1984–85 to 2018–19
    1.1 Migration Program outcome by category, 2009–10 to 2018–19
    1.2 Skill stream outcome by location, applicant type and gender, 2009–10 to 2018–19
    1.3 Skill stream outcome—top 15 citizenship countries, Employer Sponsored visas, 2009–10 to 2018–19
    1.4: Skill stream outcome primary applicants, Employer Sponsored visas by nominator industry, 2007–08 to 2018–19
    1.5 Skill stream outcome primary applicants, Employer Sponsored visas—top 10 nominated occupations by ANZSCO Unit Group, 2009–10 to 2018–19
    1.6 Skill stream outcome—top 15 citizenship countries, Points Tested Skilled Migration visas, 2009–10 to 2018–19
    1.7 Skill stream outcome primary applicants, Points Tested Skilled Migration visas—top 10 nominated occupations by ANZSCO Unit Group, 2009–10 to 2018–19
    1.8 Skill stream outcome—top 15 citizenship countries, Business Innovation and Investment visas, 2009–10 to 2018–19
    1.9 Family stream outcome—top 15 citizenship countries, Partner visas, 2009–10 to 2018–19
    1.10 All other Family stream and Child visa outcomes—top 15 citizenship countries, Parent, Other Family and Child visas, 2009–10 to 2018–19
    1.11 Permanent migration places granted to former international students in Australia, 2009–10 to 2018–19
    Temporary entry visas granted
    2.0 Temporary visas granted by visa category, 2001–02 to 2018–19
    2.1 Primary Temporary Resident (Skilled Employment) visas granted as a proportion by location and last visa held, 2009–10 to 2018–19
    2.2 Intra-company transfer Temporary Resident (Skilled Employment) visas granted by applicant type, 2009–10 to 2018–19
    2.3 Temporary Resident (Other Employment) visas granted by visa type, 2016–17 to 2018–19
    2.4 Visitor visas granted—top 15 citizenship countries, 2009–10 to 2018–19
    Detailed statistical information is available in Excel pivot tables at www.data.gov.au for the following visa categories:
    Temporary Resident (Skilled Employment) visa
    Working Holiday Maker visas
    Student visas
    Temporary Graduate visa (subclass 485)
    Australia's Humanitarian Program
    3.0 Humanitarian Program visas granted by component and visa category, 2009–10 to 2018–19
    3.1 Offshore humanitarian visas granted—top 10 countries of birth, by gender, 2014–15 to 2018–19
    3.2 Offshore humanitarian visas granted by age group, by gender, 2014–15 to 2018–19
    3.3 Final Permanent Protection visas granted—top 10 countries of citizenship (non-IMA), 2017–18 and 2018–19
    3.4 Temporary protection visas granted by type, 2017–18 and 2018–19
    Visa non-compliance
    4.0: Visa cancellations by visa category, 2016–17 to 2018–19
    4.1: Visa cancellations—top 10 countries of citizenship, 2016–17 to 2018–19
    4.2: Returns and removals, 2016–17 to 2018–19
    4.3: Returns and removals by a
ival visa category, 2016–17 to 2018–19
    4.4: Returns and removals—top 10 countries of citizenship, 2016–17 to 2018–19
    Net Overseas Migration
    5.0: Net Overseas Migration a
ivals ('000s of persons) by category, 2009 to 2018
    5.1: Net Overseas Migration departures ('000s of persons) by category, 2009 to 2018
    Detailed statistics on Net Overseas Migration can further be found on the Australian Bureau of Statistics website, see:
    ABS, Migration Australia, XXXXXXXXXXcat. no XXXXXXXXXX)
    ABS, Australian Demographic Statistics (cat. no, 3101.0)
    ABS, Australian Historical Population Statistics (cat no XXXXXXXXXX) – Migration
    Citizenship in Australia
    6.0 Australian citizenship confe
als by gender—top 15 countries of original citizenship, 2018–19
    Migration and the labour market
    7.0 Employment growth by Australia-born and overseas-born
    7.1 Unemployment and participation rates by time in Australia, 2016 Census
    7.2: Decomposition of changes in Australia’s labour force participation rate between 2000–01 and 2018–19
    Click here to return to: Table of contents.
https:
data.gov.au/dataset/ds-dga-2515b21d-0dba-4810-afd4-ac8dd92e873e/detailshttps:
data.gov.au/dataset/ds-dga-602f74a0-a588-4dea-ae28-0fe123c
182/detailshttps:
data.gov.au/dataset/ds-dga-324aa4f7-46
-4d56-bc2d-772333a2317e/details?q=Student%20visahttps:
data.gov.au/dataset/ds-dga-c957d829-4f9b-4213-a0c2-8cbeb9a03ff
details?q=Temporary%20Graduatehttps:
www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/ XXXXXXXXXX?OpenDocumenthttps:
www.abs.gov.au/ausstats/[email protected]/mf/3101.0https:
www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/ XXXXXXXXXX?OpenDocument
Caveat
        Caveat
        This Australian Migration Statistics dataset provided by the Department of Home Affairs is for statistical and research purposes.
        In addition:
        • Any publications or reports using this data must cite the Department as the source.
        • The Department is not responsible for any analysis or transformation of the data by the requestor in any publications or reports;
        • The Department is entitled to include a statement stating “The views expressed in this report are those of the authors and do not necessarily
        represent those of the Department of Home Affairs” in such a published report.
        • To the extent permitted by law, the Commonwealth excludes all liability for loss or damage arising from the use of, or reliance on,
        the information contained in this workbook whether or not caused by any negligence on the part of the Commonwealth or its agents.
        Click here to return to the contents menu.
        © Commonwealth of Australia 2019
https:
www.homeaffairs.gov.au/access-and-accountability/using-our-website/copyright-and-disclaime
1.0
        Table 1.0: Australia's Migration Program outcome, 1984–85 to 2018–19
        Year    Skill stream    Family stream1    Child stream2    Special Eligibility    Total3
        1984–85    10,100    43,000    1,200    200    54,500
        1985–86    16,200    62,100    1,300    400    80,000
        1986–87    28,500    70,700    1,900    600    101,700
        1987–88    42,000    77,500    2,000    600    122,100
        1988–89    51,200    70,400    2,300    800    124,700
        1989–90    52,700    64,500    2,100    900    120,200
        1990–91    49,800    59,300    2,000    1,200    112,200
        1991–92    41,400    53,700    2,200    1,700    98,900
        1992–93    21,300    42,600    2,700    1,400    67,900
        1993–94    18,300    40,700    2,500    1,300    62,800
        1994–95    30,400    42,000    2,500    1,600    76,500
        1995–96    24,100    53,870    2,830    1,700    82,500
        1996–97    34,676    34,993    2,183    1,735    73,587
        1997–98    34,446    29,093    2,188    1,113    66,840
        1998–99    34,895    29,967    2,071    888    67,821
        1999–00    35,352    29,855    2,162    2,868    70,237
        2000–01    44,721    31,337    2,124    2,415    80,597
        2001–02    53,507    35,920    2,162    1,465    93,054
        2002–03    66,053    38,113    2,681    1,225    108,072
        2003–04    71,243    39,567    2,662    890    114,362
        2004–05    77,878    39,245    2,491    450    120,064
        2005–06    97,336    42,744    2,547    306    142,933
        2006–07    97,922    47,071    3,008    199    148,200
        2007–08    108,540    46,808    3,062    220    158,630
        2008–09    114,777    53,128    3,238    175    171,318
        2009–10    107,868    56,710    3,544    501    168,623
        2010–11    113,725    51,243    3,300    417    168,685
        2011–12    125,755    54,904    3,700    639    184,998
        2012–13    128,973    56,335    3,850    842    190,000
        2013–14    128,550    57,262    3,850    338    190,000
        2014–15    127,774    56,950    4,135    238    189,097
        2015–16    128,550    57,400    3,512    308    189,770
        2016–17    123,567    56,220    3,400    421    183,608
        2017–18    111,099    47,732    3,350    236    162,417
        2018–19    109,713    47,247    3,248    115    160,323
        Source: Various Population flows publications and annual reports–Migration Reporting, Department of Home Affairs
        1. Excludes Child visas for comparative purposes.
        2. From 2015–16, Child visa outcomes (excluding Orphan Relative visas) are no longer part of the managed Migration Program.
        3. Information from 1984–85 to 1994–95 is rounded and reflects changes in reporting.
        Note: Program outcomes do not include New Zealand citizens (before 2017–18) or selected Humanitarian visas such as Secondary Movement Offshore Entry (Temporary),
        Secondary Movement Relocation (Temporary) and Temporary Protection visas. Numbers are for net outcome, and provisional visa holders who do not
        subsequently obtain permanent visas due to refusal or withdrawal are returned to the Program.
        Click to return to contents
        Australian Migration Statistics—released November 2019
        © Commonwealth of Australia 2019
https:
www.homeaffairs.gov.au/access-and-accountability/using-our-website/copyright-and-disclaime
1.1
        Table 1.1: Migration Program outcome by category, 2009–10 to 2018–19
        Skill stream                                                        Family stream and Child Program
                Employer Sponsored visas                 Points Tested Skilled Migration visas                Other Skill stream visas            Skill stream total        Family stream visa categories6            Child Program    Family and
Child total    Special Eligibility    Total Migration and
Child Program outcome
        Year    Employe
Nomination Scheme    Labour Agreement1    Regional Sponsored
Migration Scheme    Total    Skilled
Independent    Skilled
Regional2    State/Te
itory Nominated3    Total    Business Innovation and Investment4    Distinguished
Talent    1 Novembe
Onshore5    Total        Partner7    Parent    Other Family8    Total    Child9        Total
        2009–10    30,268    506    10,213    40,987    37,315    3,688    18,889    59,892    6,789    199    <5    6,989    107,868    44,755    9,487    2,468    56,710    3,544    60,254    501    168,623
        2010–11    33,062    163    11,120    44,345    36,167    9,117    16,175    61,459    7,796    125    0    7,921    113,725    41,994    8,499    750    51,243    3,300    54,543    417    168,685
        2011–12    29,604    479    16,471    46,554    37,772    11,800    22,247    71,819    7,202    180    0    7,382    125,755    45,150    8,502    1,252    54,904    3,700    58,604    639    184,998
        2012–13    25,964    1,266    20,510    47,740    44,251    8,132    21,637    74,020    7,010    200    <5    7,213    128,973    46,325    8,725    1,285    56,335    3,850    60,185    842    190,000
        2013–14    30,903    9    16,538    47,450    44,984    5,100    24,656    74,740    6,160    200    0    6,360    128,550    47,752    8,925    585    57,262    3,850    61,112    338    190,000
        2014–15    35,867    <5    12,380    48,250    43,990    2,800    26,050    72,840    6,484    200    0    6,684    127,774    47,825    8,675    450    56,950    4,135    61,085    238    189,097
        2015–16    35,981    0    12,269    48,250    43,994    4,196    24,650    72,840    7,260    200    0    7,460    128,550    47,825    8,675    900    57,400    3,512    60,912    308    189,770
        2016–17    38,048    <5    10,198    48,250    42,422    1,670    23,765    67,857    7,260    200    0    7,460    123,567    47,825    7,563    832    56,220    3,400    59,620    421    183,608
        2017–18    29,307    0    6,221    35,528    39,137    1,574    27,400    68,111    7,260    200    0    7,460    111,099    39,799    7,371    562    47,732    3,350    51,082    236    162,417
        2018–19    33,025    0    8,987    42,012    34,247    647    25,346    60,240    7,261    200    0    7,461    109,713    39,918    6,805    524    47,247    3,248    50,495    115    160,323
        1. From 1 July 2012, Labour Agreement permanent visas were replaced with new a
angements made available in other categories of Employer Sponsored visas.
        2. In effect 1 July 2012, replacing the Family Sponsored and Skilled Independent Regional (Provisional) visas.
        3. Includes Skilled Sponsored visa category (migrant is nominated by a state or te
itory government) and defunct visa categories: State/Te
itory Nominated Independent; State/Te
itory Nominated Independent (Regional Study); Skilled Independent Regional (Provisional) and Skill Matching.
        4. In effect 1 July 2012, replacing the Business Skills Program. Numbers are for net outcome. Visas cancelled under s134 of the Migration Act 1958 are returned to the Program in the year in which they are cancelled.
        5. Named after an Australian Government announcement on 1 November 1993. Visa primarily directed at the People's Republic of China nationals who had earlier been granted four-year temporary entry permits following the Tiananmen Square incident in China in 1989.
        6. Excludes Child visas for comparative purposes.
        7. Includes Partner, Prospective Ma
iage, Spouse (defunct) and Interdependent (defunct) visa categories.
        8. Includes Aged Dependent Relative, Carer, Special Need Relative, Remaining Relative and, from 2015–16, Orphan Relative visa categories.
        9. From 2015–16, Child visa outcomes (excluding Orphan Relative visas) which were a part of the Family stream are no longer part of the managed Migration Program.
        Click to return to contents
        Australian Migration Statistics—released November 2019
        © Commonwealth of Australia 2019
https:
www.homeaffairs.gov.au/access-and-accountability/using-our-website/copyright-and-disclaime
1.2
        Table 1.2: Skill stream outcome by location, applicant type and gender, 2009–10 to 2018–19
            Outside Australia - primary applicant by gender                    Outside Australia - secondary applicant by gender                    In Australia - primary applicant by gender                    In Australia - secondary applicant by gender                    Outside Australia by gender - total                    In Australia by gender - total                    Skill stream total by location
        Year    Female    % Female    Male    % Male    Total1    Female    % Female    Male    % Male    Total1    Female    % Female    Male    % Male    Total1    Female    % Female    Male    % Male    Total1    Female    % Female    Male    % Male    Total1    Female    % Female    Male    % Male    Total1    Outside Australia    % Outside Australia    In Australia    % In Australia    Total
        2009–10    7,021    29.3    16,933    70.7    23,961    22,195    59.6    15,036    40.4    37,235    7,857    34.8    14,705    65.2    22,564    14,255    59.1    9,850    40.9    24,108    29,216    47.8    31,969    52.2    61,196    22,112    47.4    24,555    52.6    46,672    61,196    56.7    46,672    43.3    107,868
        2010–11    5,137    28.5    12,861    71.5    18,002    17,145    59.9    11,469    40.1    28,614    14,467    37.9    23,692    62.1    38,160    17,080    59.0    11,867    41.0    28,949    22,282    47.8    24,330    52.2    46,616    31,547    47.0    35,559    53.0    67,109    46,616    41.0    67,109    59.0    113,725
        2011–12    7,407    29.1    18,041    70.9    25,449    22,658    59.7    15,273    40.3    37,932    11,397    33.3    22,839    66.7    34,237    16,418    58.4    11,715    41.6    28,137    30,065    47.4    33,314    52.6    63,381    27,815    44.6    34,554    55.4    62,374    63,381    50.4    62,374    49.6    125,755
        2012–13    6,742    30.7    15,249    69.3    22,012    19,792    59.0    13,777    41.0    33,593    14,932    36.4    26,106    63.6    41,038    18,066    55.9    14,260    44.1    32,330    26,534    47.8    29,026    52.2    55,605    32,998    45.0    40,366    55.0    73,368    55,605    43.1    73,368    56.9    128,973
        2013–14    6,575    32.4    13,734    67.6    20,328    19,460    59.0    13,499    41.0    33,001    15,398    37.4    25,752    62.6    41,207    19,334    56.9    14,636    43.1    34,014    26,035    48.9    27,233    51.1    53,329    34,732    46.2    40,388    53.8    75,221    53,329    41.5    75,221    58.5    128,550
        2014–15    6,978    32.5    14,520    67.5    21,500    21,115    59.4    14,404    40.6    35,523    13,797    36.3    24,184    63.7    37,982    19,127    58.4    13,639    41
Answered Same Day May 29, 2021 ITECH7407

Solution

Payal answered on Jun 01 2021
135 Votes
ITECH 7407
REAL TIME ANALYTICS
Report Submitted by -
TABLE OF CONTENTS:
1. PURPOSE
2. BACKGROUND & INFORMATION
3. DATA MINING & RESEARCH
3.1 DATA MINING, DATA MODELLING & RESEARCH
4. RECOMMENDATION FOR CEO
5. COVER LETTER
6. REFERENCES
1.PURPOSE:
Business Analytics has proven itself as one of the pioneer & most emerging field in Industrialization 5.0. Be it a Product Industry or a Service Industry vertical, everything from needle to plane are considering Data analysis for making any short term or long term decision within the Organization. Many Industries has also adopted to with onto the Analytical platforms like SAP, ARIBA etc., where they can analyse the real time situation of the Organization.
Business Analytics involves collecting the data of various operations involved like Customer behaviour, Demands, Supply Chain, Manufacturing, Sales, Payroll, Logistics etc. and analysing it in order to gain insights for better decision-making to improve overall Operational Efficiency.
Business Analytics has grown immensely over the past few years. It has empowered the firms operating in the various sectors to take better decisions that align with the business as well as the societal objectives. Additionally, they are using Business Analytics for promote their Products & Services to the right customers at right time & perfect manner. The use of data analytics helps management to improve operational cost, spend management in procurement, Supplier consolidation, etc. (Yanqing, 2020)
2.BACKGROUND INFORMATION:
Over the past few years, due to increased Civil war in different parts of the world, there observed a increasing trend if people migration in different parts of the world. Though migration is considered as a social issue but it also affects the economic, Political, Cultural & other factors in the Country to which the migration takes place (Krupinski)
There are two aspects of migration –
1) Positive –where the line of thought is as follows –
The people migrating to other Countries are considered as a resource in the labour market, a huge customer base for the boost in economy & providing the new business opportunities.
2) Negative –where the line of thought is as follows –
The people migrating to other Countries are considered as a burden on the limited available resources & competing in the labour market for the available jobs. This might in turn can have detrimental consequences in the Country to which people migration is taking place.
Migration takes place from every part of the world. Migration of people from one place to another in search of better opportunities, in order to lead a better and prosperous life is one of the main reason for migration. Though migration is a social factor, but it also affects the economic, political and cultural and other factors of the country to which migration of people is taking place, there are two types of factors due to which migration takes place.
First is the Push factors-where the poverty, social stigma, less or no opportunities with low income prevailing in the hinterland areas pushes a person to migrate to the u
an areas to find a way to escape from all the pathetic conditions prevailing in the hinterland areas.
The second factor is a Pull factor-where the prosperous and better city life attract a person towards the u
an areas. The prosperous city life acts as a pulling factor to attract the people to migrate to the u
an areas.
Considering the Political, Economic, Cultural, Social & other factors associated with the migration, it becomes highly imperative to analyse the past trends of migration for a particular Country in order to take the necessary measures.
Here, we have considered the dataset of Australian Government (Department of Home Affairs) which was published in 2019 on public platform. This data provides Australian Migration Statistics from 1984 to 2018 in terms of Permanent & Temporary migration, migration to labour market, Non-compliance in issuance of Visas. Further the data is segregated into Category, Gender, Location, Skills, etc.
3.DATA MINING & RESEARCH:
We have used SAP Predictive Analytics & R for our analysis. Both the tools are well advanced tools used for Business Planning, Business Intelligence, Reporting, Dashboard analysis, visualization etc.
3.1 DATA MODELLING & DATA MINING & RESEARCH:
Data modelling is the step of...
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