This table was originally created as a custom tabulation for the Greater London Authority.

Contains journey-to-work flows from districts in England and Wales to Output Areas in Greater London.

Users can choose from 12 counts in 1 table, comprising 11 possible methods of transport, plus an all-persons total.

For in-flows to distinct OAs (or sub-ward aggregates) from England and Wales, these data are thought to be more reliable that the standard 2001 SWS Level 3 data, or the commissioned C0310 data set (which includes flows from London only), as they are less strongly affected by disclosure control (see below).

All the 2001 SWS data have been derived from the 100% sample and include imputed households. Where workplace locations were unknown, these were also imputed.

Disclosure control

Data associated with residences in England and Wales (i.e. all of this dataset) have been modifed via a process known as Small Cell Adjustment Methodology (SCAM). The SCAM process is a disclosure control mechanism. For all tables process using SCAM, interior cells with a 'small' value have been adjusted. 'Small' values are understood to be in the range 0-3. Cells with an initial value of 1 have been rounded to either 0 or 3, with 0 being the more likely result. Cells with an initial value of 3 have also been rounded to either 0 or 3, but with 3 being the more likely result. Cells with initial values of either 0 or 3 have retained these values although in each case it is impossible to distinguish between rounded values and 'genuine' 0s or 3s. All sub-totals and totals have been re-calculated from the rounded cells.

There are three noticeable effects of SCAM

1. Within-table modification. For the majority of outputs, it will be apparent that a large proportion of cells within any table are either 0 or 3, and that sub-totals and totals within the table are multiples of 3.
2. Between-table variation. SWS Levels 1 and 2 contain several output tables, with the result that a number of values (e.g. 'total migrants') can be found in more than one table. Due to SCAM, these values may not be consistent between tables.
3. Between-level variation. The three spatial levels for which the SWS are available were independently subject to SCAM. Thus, if a particular value (e.g. 'total persons') is calculated by aggregating from one spatial level to a higher one, and compared to the value found in the SWS data set for that higher level, those values are unlikely to be consistent.

Users are advised to ensure that data they use has been calculated by summing the minimum number of base values.