diff --git a/secop/datatypes.py b/secop/datatypes.py
index 4757325..3b3a540 100644
--- a/secop/datatypes.py
+++ b/secop/datatypes.py
@@ -181,6 +181,52 @@ class IntRange(DataType):
         return self.validate(value)
 
 
+class ScaledInteger(DataType):
+    """Scaled integer int type
+
+    note: limits are for the scaled value (i.e. the internal value)
+          the scale is only used for calculating to/from transport serialisation"""
+
+    def __init__(self, scale, minval=-16777216, maxval=16777216):
+        self.min = int(minval)
+        self.max = int(maxval)
+        self.scale = float(scale)
+        if self.min > self.max:
+            raise ValueError(u'Max must be larger then min!')
+        if not self.scale > 0:
+            raise ValueError(u'Scale MUST be positive!')
+        self.as_json = [u'scaled', dict(min=int(round(minval/scale)), max=int(round(maxval/scale)), scale=scale)]
+
+    def validate(self, value):
+        try:
+            value = int(value)
+            if value < self.min:
+                raise ValueError(u'%r should be an int between %d and %d' %
+                                 (value, self.min, self.max))
+            if value > self.max:
+                raise ValueError(u'%r should be an int between %d and %d' %
+                                 (value, self.min, self.max))
+            return value
+        except Exception:
+            raise ValueError(u'Can not validate %r to int' % value)
+
+    def __repr__(self):
+        return u'ScaledInteger(%f, %d, %d)' % (self.scale, self.min, self.max)
+
+    def export_value(self, value):
+        """returns a python object fit for serialisation"""
+        # XXX: rounds toward even !!! (i.e. 12.5 -> 12, 13.5 -> 14)
+        return round(value / self.scale)
+
+    def import_value(self, value):
+        """returns a python object from serialisation"""
+        return self.scale * int(value)
+
+    def from_string(self, text):
+        value = int(text)
+        return self.validate(value)
+
+
 class EnumType(DataType):
     def __init__(self, enum_or_name='', **kwds):
         if 'members' in kwds:
@@ -591,6 +637,7 @@ class Status(TupleOf):
 DATATYPES = dict(
     bool    =BoolType,
     int     =lambda min, max: IntRange(minval=min,maxval=max),
+    scaled  =lambda scale, min, max: ScaledInteger(scale=scale,minval=min*scale,maxval=max*scale),
     double  =lambda min=None, max=None: FloatRange(minval=min, maxval=max),
     blob    =lambda min=0, max=None: BLOBType(minsize=min, maxsize=max),
     string  =lambda min=0, max=None: StringType(minsize=min, maxsize=max),
diff --git a/test/test_datatypes.py b/test/test_datatypes.py
index f30a50d..e942425 100644
--- a/test/test_datatypes.py
+++ b/test/test_datatypes.py
@@ -28,7 +28,7 @@ import pytest
 
 from secop.datatypes import ArrayOf, BLOBType, BoolType, \
     DataType, EnumType, FloatRange, IntRange, ProgrammingError, \
-    StringType, StructOf, TupleOf, get_datatype
+    StringType, StructOf, TupleOf, get_datatype, ScaledInteger
 
 
 def test_DataType():
@@ -87,6 +87,33 @@ def test_IntRange():
     assert dt.as_json[1]['min'] < 0 < dt.as_json[1]['max']
 
 
+def test_ScaledInteger():
+    dt = ScaledInteger(0.01, -3, 3)
+    # serialisation of datatype contains limits on the 'integer' value
+    assert dt.as_json == ['scaled', {'scale':0.01, 'min':-300, 'max':300}]
+
+    with pytest.raises(ValueError):
+        dt.validate(9)
+    with pytest.raises(ValueError):
+        dt.validate(-9)
+    with pytest.raises(ValueError):
+        dt.validate('XX')
+    with pytest.raises(ValueError):
+        dt.validate([19, 'X'])
+    dt.validate(1)
+    dt.validate(0)
+    with pytest.raises(ValueError):
+        ScaledInteger('xc', 'Yx')
+    with pytest.raises(ValueError):
+        ScaledInteger(scale=0, minval=1, maxval=2)
+    with pytest.raises(ValueError):
+        ScaledInteger(scale=-10, minval=1, maxval=2)
+
+    assert dt.export_value(0.0001) == int(0)
+    assert dt.export_value(2.71819) == int(272)
+    assert dt.import_value(272) == 2.72
+
+
 def test_EnumType():
     # test constructor catching illegal arguments
     with pytest.raises(TypeError):
@@ -311,6 +338,25 @@ def test_get_datatype():
     with pytest.raises(ValueError):
         get_datatype(['double', 1, 2])
 
+    with pytest.raises(ValueError):
+        get_datatype(['scaled', {'scale':0.01,'min':-2.718}])
+    with pytest.raises(ValueError):
+        get_datatype(['scaled', {'scale':0.02,'max':3.14}])
+    assert isinstance(get_datatype(['scaled', {'scale':0.03,'min':-99, 'max':111}]), ScaledInteger)
+
+    dt = ScaledInteger(scale=0.03, minval=0, maxval=9.9)
+    assert dt.as_json == ['scaled', {'max':330, 'min':0, 'scale':0.03}]
+    assert get_datatype(dt.as_json).as_json == dt.as_json
+
+    with pytest.raises(ValueError):
+        get_datatype(['scaled'])    # dict missing
+    with pytest.raises(ValueError):
+        get_datatype(['scaled', {'min':-10, 'max':10}])  # no scale
+    with pytest.raises(ValueError):
+        get_datatype(['scaled', {'min':10, 'max':-10}])  # limits reversed
+    with pytest.raises(ValueError):
+        get_datatype(['scaled', {}, 1, 2])  # trailing data
+
     with pytest.raises(ValueError):
         get_datatype(['enum'])
     with pytest.raises(ValueError):