Data and Trends
In this section:
| Measure | 2005 | 2006 | 2007 | |
|---|---|---|---|---|
| Operating income | $6,861m | $8,620m | $11,067m | |
| Profit before taxation | $2,681m | $3,178m | $4,035m | |
| Total assets | $215bn | $266bn | $329bn | |
| Return on equity | 18.0% | 16.9% | 15.6% | |
| Dividend per share | 64.0 cents | 71.04 cents | 79.35 cents | |
| Normalised earnings per share | 153.7 cents | 170.7 cents | 197.6 cents | |
| Staff costs | $2,145m | $2,913m | $3,949m | |
| Taxes paid | $611m | $903m | $1,097m | |
| Income by region | ||||
| Asia | $4,940m | $6,331m | $8,392m | |
| Africa | $553m | $640m | $795m | |
| Americas, UK and Europe | $556m | $579m | $452m | |
| Middle East and other South Asia | $812m | $1,070m | $1,428m | |
Equator Principles categories
Category A: High Risk
Projects with potential significant adverse social or environmental impacts that are diverse, irreversible or unprecedented.
Category B: Medium Risk
Projects with potential limited adverse social and environmental impacts that are few in number, generally site specific, largely reversible and readily addressed through mitigation measures
Category C: Low Risk
Projects with minimal or no social or environmental impacts
| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Social and environmental risks in lending | |||
| Number of people trained on sustainable lending | 2 995 | 1 500 | 2 122 |
| Graduates trained on sustainable lending | 200 | 280 | 460 |
| Equator Principles | |||
| Number of people trained on the Equator Principles | 65 | 20 | 0* |
| Number of Category A transactions approved | 5 | 5 | 8 |
| Number of Category B transactions approved | 10 | 12 | 22 |
| Number of Category C transactions approved | 3 | 3 | 4 |
| Products and services | |||
| Investment in renewables | $300m | $800m | $1,500m |
| Number of renewable energy deals closed | 4 | 8 | 8 |
- *
- We have developed a new training programme with a focus on EPII and this will be rolled out in 2008.
| Principal category | 2005 | 2006 | 2007 |
|---|---|---|---|
| Agriculture, forestry and fishing | 646 | 793 | 1,601 |
| Construction | 713 | 1,165 | 1,421 |
| Commerce | 7,077 | 9,721 | 12,885 |
| Electricity, gas and water | 1,527 | 1,708 | 2,779 |
| Financing, insurance and business services | 8,886 | 12,452 | 14,629 |
| Loans to governments | 4,874 | 6,997 | 7,809 |
| Mining and quarrying | 1,128 | 2,495 | 3,454 |
| Manufacturing | 11,343 | 17,368 | 19,905 |
| Commercial real estate | 3,480 | 3,366 | 4,298 |
| Transport, storage and communication | 3,390 | 4,327 | 4,351 |
| Other | 1,293 | 1,961 | 2,123 |
| Wholesale Banking total | 44,392 | 62,353 | 75,255 |
| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Cash contributions | $12.7m | $14.2m | $18.2m |
| Employee time | $6.3m | $4.0m | $2.8m |
| Gifts in kind | $0.05m | $0.08m | $0.0* |
| Management costs | $3.4m | $2.8m | $3.4m |
| Total | $22.4m | $21.2m | $24.5m |
| Profit before taxation | $2,681m | $3,178m | $4,035m |
| % same year’s operating profit | 0.86% | 0.67% | 0.61% |
| % based on previous year’s operating profit (PYOP) | 1.04% | 0.79% | 0.77% |
- *
- In 2005 and 2006, all the Bank’s desktop computers were replaced. The computers were donated to community organisations and the value of the depreciated assets was included as part of our community expenditure.
| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Countries using automated monitoring or enhanced | |||
| exception reporting for anti-money laundering | 4 | 24 | 35 |
| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Loans extended to Microfinance Institutions | $24m | $70m | $170m |
| Average loan size to Microfinance Institution | $1m | $2m | $4m |
| Number of individuals impacted | 250,000 | 600,000 | 1.2m |
| Number of Microfinance Institution partners | 21 | 35 | 41 |
Wholesale Banking complaint type 2007 %

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Consumer Banking complaint type 2007 %

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| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Customer – General | |||
| Wholesale Banking Service Quality Index | 93%# | 97%* | 98% |
| Consumer Banking Loyal and Positive Index | |||
| (independent Market Probe survey) | 80% | 83% | 84% |
| Customer Service | |||
| Number of complaints per 1,000 customers per month | WB: 3.5 | WB: 9.3** | WB: 10.3 |
| CB: 4 | CB: 3.6 | CB: 3.2 | |
| Complaints resolution | Target 80% | Average 54% | Average 78% |
| <2 days | in 2 days | in 2 days | |
| Complaint Type | |||
| Customer communication | WB: 7% | WB: 18% | WB: 22% |
| CB: 24% | CB: 23% | CB: 20% | |
| Staff service quality | WB: 5% | WB: 5% | WB: 11% |
| CB: 12% | CB: 15% | CB: 15% | |
| Operations process and procedures | WB: 76% | WB: 61% | WB: 62% |
| CB: 23% | CB: 22% | CB: 20% | |
| Sales and marketing | WB: n/a | WB: n/a | WB: n/a |
| CB: 6% | CB: 6% | CB: 7% | |
| Pricing | WB: n/a | WB: n/a | WB: 1% |
| CB: 7% | CB: 8% | CB: 6% | |
| System/channel design and functionalities | WB: 10% | WB: 12% | WB: 2% |
| CB: 12% | CB: 8% | CB: 10% | |
| Others | WB: 2% | WB: 4% | WB: 3% |
| CB: 16% | CB: 15% | CB: 22% |
- #
- Wholesale Banking Service Quality Index (WB SQ Index) for 2005 is based only on a survey conducted in Asia by Greenwich Associates covering our Global Corporate clients.
- *
- In 2006 the WB SQ Index was re-calibrated to include feedback from additional satisfaction surveys covering both Global Corporate clients and Local Corporate reflecting a larger share of client revenues.
- **
- The complaints index has increased due to the introduction of a new complaint management system which has improved data capture.
Employee distribution by region %

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Nationality representation by geographic region %

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| Measure | 2005 | 2006 | 2007 |
|---|---|---|---|
| Number of employees1 | |||
| Global | 43,899 | 58,821 | 69,612 |
| Consumer Banking | 19,271 | 25,610 | 34,798 |
| Wholesale Banking | 7,944 | 8,832 | 9,490 |
| Employee distribution by region | |||
| South-East Asia and other South Asia | 24% | 20% | 20% |
| North-East Asia | 30% | 30% | 30% |
| India | 23% | 26% | 28% |
| Africa | 12% | 8% | 8% |
| Middle East and Pakistan | 6% | 12% | 11% |
| Americas, UK and Europe | 4% | 3% | 3% |
| Nationality representation by geographic region | |||
| South-East Asia and other South Asia | 21% | 22% | 18% |
| North-East Asia | 27% | 26% | 28% |
| India | 31% | 27% | 30% |
| Africa | 11% | 10% | 8% |
| Middle East and Pakistan | 5% | 11% | 8% |
| Americas, UK and Europe | 4% | 4% | 4% |
| Recruitment | |||
| Employee growth rate – growth in | |||
| headcount, adjusted for joiners and leavers | 11% | 15% | 20% |
| High potential growth rate – growth in high | |||
| potential headcount, adjusted for joiners and leavers | 9% | 7% | 3% |
| Number of international graduates (IG) joining | 190 | 260 | 332 |
| Number of nationalities represented in the IG programme | 22 | 25 | 28 |
| Diversity and Inclusion | |||
| % female representation globally | 48% | 47% | 46% |
| % female – senior management | 15% | 16% | 15% |
| Number of nationalities represented globally | 89 | 105 | 115 |
| Number of nationalities represented at senior management | 45 | 56 | 61 |
| International mobility | |||
| Number of employees on international assignment | 599 | 735 | 776 |
| Employee engagement | |||
| % participation | 96% | 97% | 95%2 |
| Engagement score (/5) | 3.96 | 3.99 | 4.02 |
| Attrition | |||
| High performers and high-potential employees | 4% | 3% | 3% |
| Performance management | |||
| % eligible employees receiving a performance rating | 98% | 98% | 100% |
| % reviewed against agreed objectives 3 | 90% | 90% | 90% |
| Shares | |||
| Number of employees receiving | |||
| discretionary share awards | 3,100 | 3,077 | 3,167 |
| % participation in Sharesave scheme 4 | 44% | 47% | 42% |
| Learning and development | |||
| Total learners 5 | 124,979 | 418,174 | 534,777 |
| Learning days | 126,168 | 361,523 | 387,905 |
| % employees receiving training | 80% | 73% | 85% |
| Average training days per employee | 2.4 days | 3.4 days | 4 days |
| % of high-potential employees receiving training | 92% | 94% | 95% |
- Notes
- 1
- Includes all wholly owned subsidiaries of the Bank, including SC First Bank, Union Bank and Hsinchu International Bank.
- 2
- Ten thousand additional employees were included in our employee engagement survey in 2007 due to growth in headcount and inclusion of wholly owned subsidiaries.
- 3
- Annual survey conducted in April of each year.
- 4
- Data taken at year end.
- 5
- Total number of learning courses attended (includes e-learning).
- *
- In line with age legislation introduced in the UK in 2006, we no longer report either internally or externally on the age distribution of our employees.
Paper consumption per full-time employee (kg/FTE)

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CO2 emissions (Scope 1&2) tonnes CO2/FTE

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CO2 air travel emissions tonnes CO2/FTE

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| Measure | Units | 2005 | 2006 | 2007 | 2007 total emissions (GEMS) + estimation)1 |
|---|---|---|---|---|---|
| Number of offices reporting | 34 | 43 | 52 | ||
| Net internal area of reporting | |||||
| offices covered | m2 | 300,602 | 401,185 | 480,985 | |
| FTEs covered | FTE | 20,946 | 28,453 | 38,850 | |
| Energy consumption & GHG emissions | |||||
| Total energy consumption | GWh/year | 113 | 152 | 161 | 440 |
| Total energy consumption/m2 | kWh/m2/year | 376 | 379 | 335 | 328 |
| Scope 1 emissions | |||||
| (electricity generated on site) | tonnes CO2/year | 757 | 1,397 | 4,977 | 11,436 |
| Scope 2 emissions2 | |||||
| (imported electricity) | tonnes CO2/year | 62,769 | 85,138 | 92,576 | 209,127 |
| Total Scope 1 & 2 emissions | tonnes CO2/year | 63,526 | 86,535 | 97,553 | 220,563 |
| Total Scope 1 & 2 | |||||
| emissions/FTE | tonnes CO2/FTE/year | 3.03 | 3.04 | 2.51 | |
| Scope 3 emissions 3 | |||||
| (travel & freight) | tonnes CO2/year | 44,090 | 40,240 | 33,296 | 58,354 |
| Total CO2 emissions | tonnes CO2/year | 107,616 | 126,775 | 130,849 | 278,917 |
| Total CO2 emissions/FTE | tonnes CO2/FTE/year | 5.14 | 4.46 | 3.37 | |
| Air travel | |||||
| Air travel emissions4; | tonnes CO2 | 29,475 | 27,508 | ||
| Air travel/FTE | tonnes CO2/FTE | 0.97 | 0.79 | ||
| Paper | |||||
| Total paper consumption | ktonnes/year | 1.7 | 1.7 | 1.8 | 3.1 |
| Total paper consumption/FTE | kg/FTE/year | 79 | 59 | 47 | 45 |
| Waste | |||||
| Total solid waste | ktonnes/year | 1.8 | 2.8 | 2.8 | 4.4 |
| Total solid waste/FTE | kg/FTE/year | 88 | 98 | 73 | 63 |
| Percentage solid waste | |||||
| reused or recycled | % | 50 | 25 | 25 | |
| Water | |||||
| Total water consumption | ML/year | 508 | 677 | 873 | 1,980 |
| Total water consumption/FTE | m3/FTE/year | 24 | 24 | 22 | 28 |
| Legal Compliance | |||||
| Reported environmental | |||||
| prosecutions | none | none | none | ||
| Suppliers | |||||
| Number of suppliers | 24,000 | 23,373 | 20,417 | ||
| Total spent on procurement | $1.2bn | $1.5bn | $2.0bn | ||
- 1
- The separate study of the branch network included measurement at 126 branches, accounting for 24% of the network. Further data, for example on air travel and paper use, was obtained at a Group level. Data associated with energy, water, paper and greenhouse gas emissions associated with energy use (Scopes 1 and 2) are considered to be reliable estimates, coming largely from metered sources. Indirect greenhouse gas emissions such as freight use and air travel and waste data are less reliable due to difficulties in collecting such data, although they are considered to be indicative. Further work to strengthen all data sources will be undertaken during 2008.
- 2
- Some GEMS offices are unable to obtain energy data relating to air conditioning units as this is not provided as part of the service contract.
- 3
- Scope 3 emissions altered to reflect the GHG Protocol requirements with the removal of refrigerant gases. The travel and freight figures were estimated from data obtained from Hong Kong, India, Korea, Singapore and the United Kingdom, which represent the Bank’s largest operations. The data are considered indicative of the Bank’s indirect emissions. Data for 2006 have been restated to use the same countries.
- 4
- Travel data for 2006 and 2007 are based on reliable data obtained from Hong Kong, India, Korea, Singapore and the United Kingdom. FTE figures are based on total Bank staff populations for these operations rather than just the populations of the GEMS offices.
- *
- Graphs above are based on GEMS data.

