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Economic indicators in 2025

Purchasing power index

SWOT

ANALYSIS

Retail density

(sq m /1,000 inhabitants)

Retail stock

(sq m)

City SWOT analysis

Tenants’ structure

W

E

A

K

N

E

S

S

E

S

T

H

R

E

A

T

S

O

P

P

O

R

T

U

N

I

T

I

E

S

S

T

R

E

N

G

T

H

S

Vacancy rate

Standard lease terms

Shopping centres age

Lodz

Poland Retail Destinations

Lodz

DENSITY - STOCK

460

DENSITY - UND.CONST

40

DENSITY - PLANNED

0

EXISTING

509,900

UNDER CONSTRUCTION

46,500

PLANNED

0

PRIME RENTS

(EUR/sq m/month) - shopping centres

35-55

PRIME RENTS

(EUR/sq m/month) - high streets

20-30

AVERAGE LEASE LENGTH

(years)

5-10

SERVICE CHARGES

(PLN/sq m/month)

32

INCENTIVES

Rent free period,

step-up rent, fit-out

budget

Population in agglomeration

'000

1,116

Increase in population till 2025

-5.5%

Residence based retail sales

(EUR million)

3,057

Increase in residence based

retail sales till 2025

25%

Household disposable

income (EUR million)

3,612

Increase in household

disposable income till 2025

28%

Pro-active attitude of the city’s authorities

Good accessibility from the surrounding

cities through a developed road system

Largest and one of the most prime

schemes in Poland –

Manufaktura is visited by

around 20 million customers

yearly

S.C. density ratio higher than

the average for agglomerations

The coming completion of

Sukcesja may result in the

increased vacancy ratio in

competing schemes

Only 18% of the stock

is younger than 5 years

old – existing schemes’

redevelopment potential is

considerable

The increasing number of new openings of

restaurants and cafes may lead to Piotrkowska

Street revival

Relatively low purchasing power index per

household

Close proximity to Warsaw which also

translates into division/split of the purchasing

power

The shopping centre market is

ageing – 55% of the stock is over

10 years old

Per inhabitant

116

Per household

92

27.56%

16.20%

12.87%

8.26%

5.32%

16.20%

2.4%

2.4%

2.8%

1.7%

3.2%

2.4%

1.9%

2.3%

2.2%

5.88%

7.70%

H1 2011

H2 2011

H1 2012

H2 2012

H1 2013

H2 2013

H1 2014

H1 2015

H2 2014

18%

28%

54%

over 10 years old

5 -10 years old

below 5 years old